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clusters</title> <meta name="description" content="Search results for: computing clusters"> <meta name="keywords" content="computing clusters"> <meta name="viewport" content="width=device-width, initial-scale=1, minimum-scale=1, maximum-scale=1, user-scalable=no"> <meta charset="utf-8"> <link href="https://cdn.waset.org/favicon.ico" type="image/x-icon" rel="shortcut icon"> <link href="https://cdn.waset.org/static/plugins/bootstrap-4.2.1/css/bootstrap.min.css" rel="stylesheet"> <link href="https://cdn.waset.org/static/plugins/fontawesome/css/all.min.css" rel="stylesheet"> <link href="https://cdn.waset.org/static/css/site.css?v=150220211555" rel="stylesheet"> </head> <body> <header> <div class="container"> <nav class="navbar navbar-expand-lg navbar-light"> <a class="navbar-brand" href="https://waset.org"> <img src="https://cdn.waset.org/static/images/wasetc.png" alt="Open Science Research Excellence" title="Open Science Research Excellence" /> </a> <button class="d-block d-lg-none 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action="https://publications.waset.org/abstracts/search"> <div id="custom-search-input"> <div class="input-group"> <i class="fas fa-search"></i> <input type="text" class="search-query" name="q" placeholder="Author, Title, Abstract, Keywords" value="computing clusters"> <input type="submit" class="btn_search" value="Search"> </div> </div> </form> </div> </div> <div class="row mt-3"> <div class="col-sm-3"> <div class="card"> <div class="card-body"><strong>Commenced</strong> in January 2007</div> </div> </div> <div class="col-sm-3"> <div class="card"> <div class="card-body"><strong>Frequency:</strong> Monthly</div> </div> </div> <div class="col-sm-3"> <div class="card"> <div class="card-body"><strong>Edition:</strong> International</div> </div> </div> <div class="col-sm-3"> <div class="card"> <div class="card-body"><strong>Paper Count:</strong> 1600</div> </div> </div> </div> <h1 class="mt-3 mb-3 text-center" style="font-size:1.6rem;">Search results for: computing clusters</h1> <div class="card paper-listing mb-3 mt-3"> <h5 class="card-header" style="font-size:.9rem"><span class="badge badge-info">1600</span> A Simple User Administration View of Computing Clusters </h5> <div class="card-body"> <p class="card-text"><strong>Authors:</strong> <a href="https://publications.waset.org/abstracts/search?q=Valeria%20M.%20Bastos">Valeria M. Bastos</a>, <a href="https://publications.waset.org/abstracts/search?q=Myrian%20A.%20Costa"> Myrian A. Costa</a>, <a href="https://publications.waset.org/abstracts/search?q=Matheus%20Ambrozio"> Matheus Ambrozio</a>, <a href="https://publications.waset.org/abstracts/search?q=Nelson%20F.%20F.%20Ebecken"> Nelson F. F. Ebecken</a> </p> <p class="card-text"><strong>Abstract:</strong></p> In this paper a very simple and effective user administration view of computing clusters systems is implemented in order of friendly provide the configuration and monitoring of distributed application executions. The user view, the administrator view, and an internal control module create an illusionary management environment for better system usability. The architecture, properties, performance, and the comparison with others software for cluster management are briefly commented. <p class="card-text"><strong>Keywords:</strong> <a href="https://publications.waset.org/abstracts/search?q=big%20data" title="big data">big data</a>, <a href="https://publications.waset.org/abstracts/search?q=computing%20clusters" title=" computing clusters"> computing clusters</a>, <a href="https://publications.waset.org/abstracts/search?q=administration%20view" title=" administration view"> administration view</a>, <a href="https://publications.waset.org/abstracts/search?q=user%20view" title=" user view"> user view</a> </p> <a href="https://publications.waset.org/abstracts/37926/a-simple-user-administration-view-of-computing-clusters" class="btn btn-primary btn-sm">Procedia</a> <a href="https://publications.waset.org/abstracts/37926.pdf" target="_blank" class="btn btn-primary btn-sm">PDF</a> <span class="bg-info text-light px-1 py-1 float-right rounded"> Downloads <span class="badge badge-light">331</span> </span> </div> </div> <div class="card paper-listing mb-3 mt-3"> <h5 class="card-header" style="font-size:.9rem"><span class="badge badge-info">1599</span> Load Balancing Algorithms for SIP Server Clusters in Cloud Computing</h5> <div class="card-body"> <p class="card-text"><strong>Authors:</strong> <a href="https://publications.waset.org/abstracts/search?q=Tanmay%20Raj">Tanmay Raj</a>, <a href="https://publications.waset.org/abstracts/search?q=Vedika%20Gupta"> Vedika Gupta</a> </p> <p class="card-text"><strong>Abstract:</strong></p> For its groundbreaking and substantial power, cloud computing is today’s most popular breakthrough. It is a sort of Internet-based computing that allows users to request and receive numerous services in a cost-effective manner. Virtualization, grid computing, and utility computing are the most widely employed emerging technologies in cloud computing, making it the most powerful. However, cloud computing still has a number of key challenges, such as security, load balancing, and non-critical failure adaption, to name a few. The massive growth of cloud computing will put an undue strain on servers. As a result, network performance will deteriorate. A good load balancing adjustment can make cloud computing more productive and in- crease client fulfillment execution. Load balancing is an important part of cloud computing because it prevents certain nodes from being overwhelmed while others are idle or have little work to perform. Response time, cost, throughput, performance, and resource usage are all parameters that may be improved using load balancing. <p class="card-text"><strong>Keywords:</strong> <a href="https://publications.waset.org/abstracts/search?q=cloud%20computing" title="cloud computing">cloud computing</a>, <a href="https://publications.waset.org/abstracts/search?q=load%20balancing" title=" load balancing"> load balancing</a>, <a href="https://publications.waset.org/abstracts/search?q=computing" title=" computing"> computing</a>, <a href="https://publications.waset.org/abstracts/search?q=SIP%20server%20clusters" title=" SIP server clusters"> SIP server clusters</a> </p> <a href="https://publications.waset.org/abstracts/150361/load-balancing-algorithms-for-sip-server-clusters-in-cloud-computing" class="btn btn-primary btn-sm">Procedia</a> <a href="https://publications.waset.org/abstracts/150361.pdf" target="_blank" class="btn btn-primary btn-sm">PDF</a> <span class="bg-info text-light px-1 py-1 float-right rounded"> Downloads <span class="badge badge-light">123</span> </span> </div> </div> <div class="card paper-listing mb-3 mt-3"> <h5 class="card-header" style="font-size:.9rem"><span class="badge badge-info">1598</span> Resource-Constrained Heterogeneous Workflow Scheduling Algorithms in Heterogeneous Computing Clusters</h5> <div class="card-body"> <p class="card-text"><strong>Authors:</strong> <a href="https://publications.waset.org/abstracts/search?q=Lei%20Wang">Lei Wang</a>, <a href="https://publications.waset.org/abstracts/search?q=Jiahao%20Zhou"> Jiahao Zhou</a> </p> <p class="card-text"><strong>Abstract:</strong></p> The development of heterogeneous computing clusters provides a strong computility guarantee for large-scale workflows (e.g., scientific computing, artificial intelligence (AI), etc.). However, the tasks within large-scale workflows have also gradually become heterogeneous due to different demands on computing resources, which leads to the addition of a task resource-restricted constraint to the workflow scheduling problem on heterogeneous computing platforms. In this paper, we propose a heterogeneous constrained minimum makespan scheduling algorithm based on the idea of greedy strategy, which provides an efficient solution to the heterogeneous workflow scheduling problem in a heterogeneous platform. In this paper, we test the effectiveness of our proposed scheduling algorithm by randomly generating heterogeneous workflows with heterogeneous computing platform, and the experiments show that our method improves 15.2% over the state-of-the-art methods. <p class="card-text"><strong>Keywords:</strong> <a href="https://publications.waset.org/abstracts/search?q=heterogeneous%20computing" title="heterogeneous computing">heterogeneous computing</a>, <a href="https://publications.waset.org/abstracts/search?q=workflow%20scheduling" title=" workflow scheduling"> workflow scheduling</a>, <a href="https://publications.waset.org/abstracts/search?q=constrained%20resources" title=" constrained resources"> constrained resources</a>, <a href="https://publications.waset.org/abstracts/search?q=minimal%20makespan" title=" minimal makespan"> minimal makespan</a> </p> <a href="https://publications.waset.org/abstracts/190199/resource-constrained-heterogeneous-workflow-scheduling-algorithms-in-heterogeneous-computing-clusters" class="btn btn-primary btn-sm">Procedia</a> <a href="https://publications.waset.org/abstracts/190199.pdf" target="_blank" class="btn btn-primary btn-sm">PDF</a> <span class="bg-info text-light px-1 py-1 float-right rounded"> Downloads <span class="badge badge-light">34</span> </span> </div> </div> <div class="card paper-listing mb-3 mt-3"> <h5 class="card-header" style="font-size:.9rem"><span class="badge badge-info">1597</span> A Survey on Internet of Things and Fog Computing as a Platform for Internet of Things</h5> <div class="card-body"> <p class="card-text"><strong>Authors:</strong> <a href="https://publications.waset.org/abstracts/search?q=Samira%20Kalantary">Samira Kalantary</a>, <a href="https://publications.waset.org/abstracts/search?q=Sara%20Taghipour"> Sara Taghipour</a>, <a href="https://publications.waset.org/abstracts/search?q=Mansoure%20Ghias%20Abadi"> Mansoure Ghias Abadi</a> </p> <p class="card-text"><strong>Abstract:</strong></p> The Internet of Things (IOT) is a technological revolution that represents the future of computing and communications. IOT is the convergence of Internet with RFID, NFC, Sensor, and smart objects. Fog Computing is the natural platform for IOT. At present, the IOT as a new network communication technology has rapidly shifted from concept to application under fog computing virtual storage computing platform. In this paper, we describe everything about IOT and difference between cloud computing and fog computing. <p class="card-text"><strong>Keywords:</strong> <a href="https://publications.waset.org/abstracts/search?q=cloud%20computing" title="cloud computing">cloud computing</a>, <a href="https://publications.waset.org/abstracts/search?q=fog%20computing" title=" fog computing"> fog computing</a>, <a href="https://publications.waset.org/abstracts/search?q=Internet%20of%20Things%20%28IoT%29" title=" Internet of Things (IoT)"> Internet of Things (IoT)</a>, <a href="https://publications.waset.org/abstracts/search?q=IOT%20application" title=" IOT application"> IOT application</a> </p> <a href="https://publications.waset.org/abstracts/30670/a-survey-on-internet-of-things-and-fog-computing-as-a-platform-for-internet-of-things" class="btn btn-primary btn-sm">Procedia</a> <a href="https://publications.waset.org/abstracts/30670.pdf" target="_blank" class="btn btn-primary btn-sm">PDF</a> <span class="bg-info text-light px-1 py-1 float-right rounded"> Downloads <span class="badge badge-light">585</span> </span> </div> </div> <div class="card paper-listing mb-3 mt-3"> <h5 class="card-header" style="font-size:.9rem"><span class="badge badge-info">1596</span> Some Issues with Extension of an HPC Cluster</h5> <div class="card-body"> <p class="card-text"><strong>Authors:</strong> <a href="https://publications.waset.org/abstracts/search?q=Pil%20Seong%20Park">Pil Seong Park</a> </p> <p class="card-text"><strong>Abstract:</strong></p> Homemade HPC clusters are widely used in many small labs, because they are easy to build and cost-effective. Even though incremental growth is an advantage of clusters, it results in heterogeneous systems anyhow. Instead of adding new nodes to the cluster, we can extend clusters to include some other Internet servers working independently on the same LAN, so that we can make use of their idle times, especially during the night. However extension across a firewall raises some security problems with NFS. In this paper, we propose a method to solve such a problem using SSH tunneling, and suggest a modified structure of the cluster that implements it. <p class="card-text"><strong>Keywords:</strong> <a href="https://publications.waset.org/abstracts/search?q=extension%20of%20HPC%20clusters" title="extension of HPC clusters">extension of HPC clusters</a>, <a href="https://publications.waset.org/abstracts/search?q=security" title=" security"> security</a>, <a href="https://publications.waset.org/abstracts/search?q=NFS" title=" NFS"> NFS</a>, <a href="https://publications.waset.org/abstracts/search?q=SSH%20tunneling" title=" SSH tunneling"> SSH tunneling</a> </p> <a href="https://publications.waset.org/abstracts/8521/some-issues-with-extension-of-an-hpc-cluster" class="btn btn-primary btn-sm">Procedia</a> <a href="https://publications.waset.org/abstracts/8521.pdf" target="_blank" class="btn btn-primary btn-sm">PDF</a> <span class="bg-info text-light px-1 py-1 float-right rounded"> Downloads <span class="badge badge-light">426</span> </span> </div> </div> <div class="card paper-listing mb-3 mt-3"> <h5 class="card-header" style="font-size:.9rem"><span class="badge badge-info">1595</span> Fog Computing- Network Based Computing</h5> <div class="card-body"> <p class="card-text"><strong>Authors:</strong> <a href="https://publications.waset.org/abstracts/search?q=Navaneeth%20Krishnan">Navaneeth Krishnan</a>, <a href="https://publications.waset.org/abstracts/search?q=Chandan%20N.%20Bhagwat"> Chandan N. Bhagwat</a>, <a href="https://publications.waset.org/abstracts/search?q=Aparajit%20P.%20Utpat"> Aparajit P. Utpat</a> </p> <p class="card-text"><strong>Abstract:</strong></p> Cloud Computing provides us a means to upload data and use applications over the internet. As the number of devices connecting to the cloud grows, there is undue pressure on the cloud infrastructure. Fog computing or Network Based Computing or Edge Computing allows to move a part of the processing in the cloud to the network devices present along the node to the cloud. Therefore the nodes connected to the cloud have a better response time. This paper proposes a method of moving the computation from the cloud to the network by introducing an android like appstore on the networking devices. <p class="card-text"><strong>Keywords:</strong> <a href="https://publications.waset.org/abstracts/search?q=cloud%20computing" title="cloud computing">cloud computing</a>, <a href="https://publications.waset.org/abstracts/search?q=fog%20computing" title=" fog computing"> fog computing</a>, <a href="https://publications.waset.org/abstracts/search?q=network%20devices" title=" network devices"> network devices</a>, <a href="https://publications.waset.org/abstracts/search?q=appstore" title=" appstore"> appstore</a> </p> <a href="https://publications.waset.org/abstracts/18550/fog-computing-network-based-computing" class="btn btn-primary btn-sm">Procedia</a> <a href="https://publications.waset.org/abstracts/18550.pdf" target="_blank" class="btn btn-primary btn-sm">PDF</a> <span class="bg-info text-light px-1 py-1 float-right rounded"> Downloads <span class="badge badge-light">388</span> </span> </div> </div> <div class="card paper-listing mb-3 mt-3"> <h5 class="card-header" style="font-size:.9rem"><span class="badge badge-info">1594</span> Regression Approach for Optimal Purchase of Hosts Cluster in Fixed Fund for Hadoop Big Data Platform</h5> <div class="card-body"> <p class="card-text"><strong>Authors:</strong> <a href="https://publications.waset.org/abstracts/search?q=Haitao%20Yang">Haitao Yang</a>, <a href="https://publications.waset.org/abstracts/search?q=Jianming%20Lv"> Jianming Lv</a>, <a href="https://publications.waset.org/abstracts/search?q=Fei%20Xu"> Fei Xu</a>, <a href="https://publications.waset.org/abstracts/search?q=Xintong%20Wang"> Xintong Wang</a>, <a href="https://publications.waset.org/abstracts/search?q=Yilin%20Huang"> Yilin Huang</a>, <a href="https://publications.waset.org/abstracts/search?q=Lanting%20Xia"> Lanting Xia</a>, <a href="https://publications.waset.org/abstracts/search?q=Xuewu%20Zhu"> Xuewu Zhu</a> </p> <p class="card-text"><strong>Abstract:</strong></p> Given a fixed fund, purchasing fewer hosts of higher capability or inversely more of lower capability is a must-be-made trade-off in practices for building a Hadoop big data platform. An exploratory study is presented for a Housing Big Data Platform project (HBDP), where typical big data computing is with SQL queries of aggregate, join, and space-time condition selections executed upon massive data from more than 10 million housing units. In HBDP, an empirical formula was introduced to predict the performance of host clusters potential for the intended typical big data computing, and it was shaped via a regression approach. With this empirical formula, it is easy to suggest an optimal cluster configuration. The investigation was based on a typical Hadoop computing ecosystem HDFS+Hive+Spark. A proper metric was raised to measure the performance of Hadoop clusters in HBDP, which was tested and compared with its predicted counterpart, on executing three kinds of typical SQL query tasks. Tests were conducted with respect to factors of CPU benchmark, memory size, virtual host division, and the number of element physical host in cluster. The research has been applied to practical cluster procurement for housing big data computing. <p class="card-text"><strong>Keywords:</strong> <a href="https://publications.waset.org/abstracts/search?q=Hadoop%20platform%20planning" title="Hadoop platform planning">Hadoop platform planning</a>, <a href="https://publications.waset.org/abstracts/search?q=optimal%20cluster%20scheme%20at%20fixed-fund" title=" optimal cluster scheme at fixed-fund"> optimal cluster scheme at fixed-fund</a>, <a href="https://publications.waset.org/abstracts/search?q=performance%20predicting%20formula" title=" performance predicting formula"> performance predicting formula</a>, <a href="https://publications.waset.org/abstracts/search?q=typical%20SQL%20query%20tasks" title=" typical SQL query tasks"> typical SQL query tasks</a> </p> <a href="https://publications.waset.org/abstracts/66144/regression-approach-for-optimal-purchase-of-hosts-cluster-in-fixed-fund-for-hadoop-big-data-platform" class="btn btn-primary btn-sm">Procedia</a> <a href="https://publications.waset.org/abstracts/66144.pdf" target="_blank" class="btn btn-primary btn-sm">PDF</a> <span class="bg-info text-light px-1 py-1 float-right rounded"> Downloads <span class="badge badge-light">232</span> </span> </div> </div> <div class="card paper-listing mb-3 mt-3"> <h5 class="card-header" style="font-size:.9rem"><span class="badge badge-info">1593</span> Effect of Cloud Computing on Enterprises</h5> <div class="card-body"> <p class="card-text"><strong>Authors:</strong> <a href="https://publications.waset.org/abstracts/search?q=Amir%20Rashid">Amir Rashid</a> </p> <p class="card-text"><strong>Abstract:</strong></p> Today is the world of innovations where everyone is looking for a change. Organizations are now looking toward virtualization in order to minimize their computing cost. Cloud Computing has also introduced itself by the means of reducing computing cost. It offers different approach to make computing better by improving utilization and reducing infrastructure and administrative costs. Cloud Computing is basically the amalgamation of Utility Computing and SaaS (Software as a Service). Cloud Computing is quite new to organizations as it is still at its deploying stage. Due to this reason, organizations are not confident whether to adopt it or not. This thesis investigates the problem for organization concerning the security and cost issues. Benefits and drawbacks are being highlighted which organizations can have or suffer in order to adopt Cloud Computing. In Conclusion, Cloud Computing is a better option available for small and medium organizations with a comparison to large companies both in terms of data security and cost. <p class="card-text"><strong>Keywords:</strong> <a href="https://publications.waset.org/abstracts/search?q=cloud%20computing" title="cloud computing">cloud computing</a>, <a href="https://publications.waset.org/abstracts/search?q=security" title=" security"> security</a>, <a href="https://publications.waset.org/abstracts/search?q=cost" title=" cost"> cost</a>, <a href="https://publications.waset.org/abstracts/search?q=elasticity" title=" elasticity"> elasticity</a>, <a href="https://publications.waset.org/abstracts/search?q=PaaS" title=" PaaS"> PaaS</a>, <a href="https://publications.waset.org/abstracts/search?q=IaaS" title=" IaaS"> IaaS</a>, <a href="https://publications.waset.org/abstracts/search?q=SaaS" title=" SaaS"> SaaS</a> </p> <a href="https://publications.waset.org/abstracts/46177/effect-of-cloud-computing-on-enterprises" class="btn btn-primary btn-sm">Procedia</a> <a href="https://publications.waset.org/abstracts/46177.pdf" target="_blank" class="btn btn-primary btn-sm">PDF</a> <span class="bg-info text-light px-1 py-1 float-right rounded"> Downloads <span class="badge badge-light">340</span> </span> </div> </div> <div class="card paper-listing mb-3 mt-3"> <h5 class="card-header" style="font-size:.9rem"><span class="badge badge-info">1592</span> Spectroscopic Relation between Open Cluster and Globular Cluster</h5> <div class="card-body"> <p class="card-text"><strong>Authors:</strong> <a href="https://publications.waset.org/abstracts/search?q=Robin%20Singh">Robin Singh</a>, <a href="https://publications.waset.org/abstracts/search?q=Mayank%20Nautiyal"> Mayank Nautiyal</a>, <a href="https://publications.waset.org/abstracts/search?q=Priyank%20Jain"> Priyank Jain</a>, <a href="https://publications.waset.org/abstracts/search?q=Vatasta%20Koul"> Vatasta Koul</a>, <a href="https://publications.waset.org/abstracts/search?q=Vaibhav%20Sharma"> Vaibhav Sharma</a> </p> <p class="card-text"><strong>Abstract:</strong></p> The curiosity to investigate the space and its mysteries was dependably the main impetus of human interest, as the particle of livings exists from the "debut de l'Univers" (beginning of the Universe) typified with its few other living things. The sharp drive to uncover the secrets of stars and their unusual deportment was dependably an ignitor of stars investigation. As humankind lives in civilizations and states, stars likewise live in provinces named ‘clusters’. Clusters are separates into 2 composes i.e. open clusters and globular clusters. An open cluster is a gathering of thousand stars that were moulded from a comparable goliath sub-nuclear cloud and for the most part; contain Propulsion I (extremely metal-rich) and Propulsion II (mild metal-rich), where globular clusters are around gathering of more than thirty thousand stars that circles a galactic focus and basically contain Propulsion III (to a great degree metal-poor) stars. Futurology of this paper lies in the spectroscopic investigation of globular clusters like M92 and NGC419 and open clusters like M34 and IC2391 in different color bands by using software like VIREO virtual observatory, Aladin, CMUNIWIN, and MS-Excel. Assessing the outcome Hertzsprung-Russel (HR) diagram with exemplary cosmological models like Einstein model, De Sitter and Planck survey demonstrate for a superior age estimation of respective clusters. Colour-Magnitude Diagram of these clusters was obtained by photometric analysis in g and r bands which further transformed into BV bands which will unravel the idea of stars exhibit in the individual clusters. <p class="card-text"><strong>Keywords:</strong> <a href="https://publications.waset.org/abstracts/search?q=color%20magnitude%20diagram" title="color magnitude diagram">color magnitude diagram</a>, <a href="https://publications.waset.org/abstracts/search?q=globular%20clusters" title=" globular clusters"> globular clusters</a>, <a href="https://publications.waset.org/abstracts/search?q=open%20clusters" title=" open clusters"> open clusters</a>, <a href="https://publications.waset.org/abstracts/search?q=Einstein%20model" title=" Einstein model"> Einstein model</a> </p> <a href="https://publications.waset.org/abstracts/96685/spectroscopic-relation-between-open-cluster-and-globular-cluster" class="btn btn-primary btn-sm">Procedia</a> <a href="https://publications.waset.org/abstracts/96685.pdf" target="_blank" class="btn btn-primary btn-sm">PDF</a> <span class="bg-info text-light px-1 py-1 float-right rounded"> Downloads <span class="badge badge-light">226</span> </span> </div> </div> <div class="card paper-listing mb-3 mt-3"> <h5 class="card-header" style="font-size:.9rem"><span class="badge badge-info">1591</span> Key Technologies and Evolution Strategies for Computing Force Bearer Network</h5> <div class="card-body"> <p class="card-text"><strong>Authors:</strong> <a href="https://publications.waset.org/abstracts/search?q=Zhaojunfeng">Zhaojunfeng</a> </p> <p class="card-text"><strong>Abstract:</strong></p> Driven by the national policy of "East Data and Western Calculation", the computing first network will attract a new wave of development. As the foundation of the development of the computing first network, the computing force bearer network has become the key direction of technology research and development in the industry. This article will analyze typical computing force application scenarios and bearing requirements and sort out the SLA indicators of computing force applications. On this basis, this article carries out research and discussion on the key technologies of computing force bearer network in a slice packet network, and finally, gives evolution policy for SPN computing force bearer network to support the development of SPN computing force bearer network technology and network deployment. <p class="card-text"><strong>Keywords:</strong> <a href="https://publications.waset.org/abstracts/search?q=component-computing%20force%20bearing" title="component-computing force bearing">component-computing force bearing</a>, <a href="https://publications.waset.org/abstracts/search?q=bearing%20requirements%20of%20computing%20force%20application" title=" bearing requirements of computing force application"> bearing requirements of computing force application</a>, <a href="https://publications.waset.org/abstracts/search?q=dual-SLA%20indicators%20for%20computing%20force%20applications" title=" dual-SLA indicators for computing force applications"> dual-SLA indicators for computing force applications</a>, <a href="https://publications.waset.org/abstracts/search?q=SRv6" title=" SRv6"> SRv6</a>, <a href="https://publications.waset.org/abstracts/search?q=evolution%20strategies" title=" evolution strategies"> evolution strategies</a> </p> <a href="https://publications.waset.org/abstracts/155006/key-technologies-and-evolution-strategies-for-computing-force-bearer-network" class="btn btn-primary btn-sm">Procedia</a> <a href="https://publications.waset.org/abstracts/155006.pdf" target="_blank" class="btn btn-primary btn-sm">PDF</a> <span class="bg-info text-light px-1 py-1 float-right rounded"> Downloads <span class="badge badge-light">130</span> </span> </div> </div> <div class="card paper-listing mb-3 mt-3"> <h5 class="card-header" style="font-size:.9rem"><span class="badge badge-info">1590</span> A Comparative Study of Multi-SOM Algorithms for Determining the Optimal Number of Clusters</h5> <div class="card-body"> <p class="card-text"><strong>Authors:</strong> <a href="https://publications.waset.org/abstracts/search?q=Im%C3%A8n%20Khanchouch">Imèn Khanchouch</a>, <a href="https://publications.waset.org/abstracts/search?q=Malika%20Charrad"> Malika Charrad</a>, <a href="https://publications.waset.org/abstracts/search?q=Mohamed%20Limam"> Mohamed Limam</a> </p> <p class="card-text"><strong>Abstract:</strong></p> The interpretation of the quality of clusters and the determination of the optimal number of clusters is still a crucial problem in clustering. We focus in this paper on multi-SOM clustering method which overcomes the problem of extracting the number of clusters from the SOM map through the use of a clustering validity index. We then tested multi-SOM using real and artificial data sets with different evaluation criteria not used previously such as Davies Bouldin index, Dunn index and silhouette index. The developed multi-SOM algorithm is compared to k-means and Birch methods. Results show that it is more efficient than classical clustering methods. <p class="card-text"><strong>Keywords:</strong> <a href="https://publications.waset.org/abstracts/search?q=clustering" title="clustering">clustering</a>, <a href="https://publications.waset.org/abstracts/search?q=SOM" title=" SOM"> SOM</a>, <a href="https://publications.waset.org/abstracts/search?q=multi-SOM" title=" multi-SOM"> multi-SOM</a>, <a href="https://publications.waset.org/abstracts/search?q=DB%20index" title=" DB index"> DB index</a>, <a href="https://publications.waset.org/abstracts/search?q=Dunn%20index" title=" Dunn index"> Dunn index</a>, <a href="https://publications.waset.org/abstracts/search?q=silhouette%20index" title=" silhouette index"> silhouette index</a> </p> <a href="https://publications.waset.org/abstracts/17422/a-comparative-study-of-multi-som-algorithms-for-determining-the-optimal-number-of-clusters" class="btn btn-primary btn-sm">Procedia</a> <a href="https://publications.waset.org/abstracts/17422.pdf" target="_blank" class="btn btn-primary btn-sm">PDF</a> <span class="bg-info text-light px-1 py-1 float-right rounded"> Downloads <span class="badge badge-light">599</span> </span> </div> </div> <div class="card paper-listing mb-3 mt-3"> <h5 class="card-header" style="font-size:.9rem"><span class="badge badge-info">1589</span> Cloud Computing in Jordanian Libraries: An Overview</h5> <div class="card-body"> <p class="card-text"><strong>Authors:</strong> <a href="https://publications.waset.org/abstracts/search?q=Mohammad%20A.%20Al-Madi">Mohammad A. Al-Madi</a>, <a href="https://publications.waset.org/abstracts/search?q=Nagham%20A.%20Al-Madi"> Nagham A. Al-Madi</a>, <a href="https://publications.waset.org/abstracts/search?q=Fanan%20A.%20Al-Madi"> Fanan A. Al-Madi</a> </p> <p class="card-text"><strong>Abstract:</strong></p> The current concept of the technology of cloud computing libraries has been increasing where users can store their data in a virtual space and can be retrieved from anywhere whilst using the network. By using cloud computing technology, industries and individuals save money, time, and space. Moreover, data and information about libraries can be placed in the cloud. This paper discusses the meaning of cloud computing along with its types. Further, the focus has been given to the application of cloud computing in modern libraries. Additionally, the advantages of cloud computing and the areas in which cloud computing be applied with current usage are discussed. Finally, the present situation of the Jordanian libraries is considered and discussed in further detail. <p class="card-text"><strong>Keywords:</strong> <a href="https://publications.waset.org/abstracts/search?q=cloud%20computing" title="cloud computing">cloud computing</a>, <a href="https://publications.waset.org/abstracts/search?q=community%20cloud" title=" community cloud"> community cloud</a>, <a href="https://publications.waset.org/abstracts/search?q=hybrid%20cloud" title=" hybrid cloud"> hybrid cloud</a>, <a href="https://publications.waset.org/abstracts/search?q=private%20cloud" title=" private cloud"> private cloud</a>, <a href="https://publications.waset.org/abstracts/search?q=public%20cloud" title=" public cloud"> public cloud</a> </p> <a href="https://publications.waset.org/abstracts/139449/cloud-computing-in-jordanian-libraries-an-overview" class="btn btn-primary btn-sm">Procedia</a> <a href="https://publications.waset.org/abstracts/139449.pdf" target="_blank" class="btn btn-primary btn-sm">PDF</a> <span class="bg-info text-light px-1 py-1 float-right rounded"> Downloads <span class="badge badge-light">221</span> </span> </div> </div> <div class="card paper-listing mb-3 mt-3"> <h5 class="card-header" style="font-size:.9rem"><span class="badge badge-info">1588</span> Cloud Computing Architecture Based on SOA</h5> <div class="card-body"> <p class="card-text"><strong>Authors:</strong> <a href="https://publications.waset.org/abstracts/search?q=Negin%20Mohammadrezaee%20Larki">Negin Mohammadrezaee Larki</a> </p> <p class="card-text"><strong>Abstract:</strong></p> Cloud Computing is a popular solution that has been used in recent years to cooperate and collaborate among distributed applications over networks. Moving successfully into cloud computing requires an architecture that will support the new cloud capabilities. Many business leaders and analysts agree that moving to cloud requires having a solid, service-oriented architecture to provide the infrastructure needed for successful cloud implementation. <p class="card-text"><strong>Keywords:</strong> <a href="https://publications.waset.org/abstracts/search?q=Service%20Oriented%20Architecture%20%28SOA%29" title="Service Oriented Architecture (SOA)">Service Oriented Architecture (SOA)</a>, <a href="https://publications.waset.org/abstracts/search?q=Service%20Oriented%20Cloud%20Computing%20Architecture%20%28SOCCA%29" title=" Service Oriented Cloud Computing Architecture (SOCCA)"> Service Oriented Cloud Computing Architecture (SOCCA)</a>, <a href="https://publications.waset.org/abstracts/search?q=cloud%20computing" title=" cloud computing"> cloud computing</a>, <a href="https://publications.waset.org/abstracts/search?q=cloud%20computing%20architecture" title=" cloud computing architecture "> cloud computing architecture </a> </p> <a href="https://publications.waset.org/abstracts/24894/cloud-computing-architecture-based-on-soa" class="btn btn-primary btn-sm">Procedia</a> <a href="https://publications.waset.org/abstracts/24894.pdf" target="_blank" class="btn btn-primary btn-sm">PDF</a> <span class="bg-info text-light px-1 py-1 float-right rounded"> Downloads <span class="badge badge-light">388</span> </span> </div> </div> <div class="card paper-listing mb-3 mt-3"> <h5 class="card-header" style="font-size:.9rem"><span class="badge badge-info">1587</span> Enhancing Cloud Computing with Security Trust Model</h5> <div class="card-body"> <p class="card-text"><strong>Authors:</strong> <a href="https://publications.waset.org/abstracts/search?q=John%20Ayoade">John Ayoade</a> </p> <p class="card-text"><strong>Abstract:</strong></p> Cloud computing is a model that enables the delivery of on-demand computing resources such as networks, servers, storage, applications and services over the internet. Cloud Computing is a relatively growing concept that presents a good number of benefits for its users; however, it also raises some security challenges which may slow down its use. In this paper, we identify some of those security issues that can serve as barriers to realizing the full benefits that cloud computing can bring. One of the key security problems is security trust. A security trust model is proposed that can enhance the confidence that users need to fully trust the use of public and mobile cloud computing and maximize the potential benefits that they offer. <p class="card-text"><strong>Keywords:</strong> <a href="https://publications.waset.org/abstracts/search?q=cloud%20computing" title="cloud computing">cloud computing</a>, <a href="https://publications.waset.org/abstracts/search?q=trust" title=" trust"> trust</a>, <a href="https://publications.waset.org/abstracts/search?q=security" title=" security"> security</a>, <a href="https://publications.waset.org/abstracts/search?q=certificate%20authority" title=" certificate authority"> certificate authority</a>, <a href="https://publications.waset.org/abstracts/search?q=PKI" title=" PKI"> PKI</a> </p> <a href="https://publications.waset.org/abstracts/16186/enhancing-cloud-computing-with-security-trust-model" class="btn btn-primary btn-sm">Procedia</a> <a href="https://publications.waset.org/abstracts/16186.pdf" target="_blank" class="btn btn-primary btn-sm">PDF</a> <span class="bg-info text-light px-1 py-1 float-right rounded"> Downloads <span class="badge badge-light">484</span> </span> </div> </div> <div class="card paper-listing mb-3 mt-3"> <h5 class="card-header" style="font-size:.9rem"><span class="badge badge-info">1586</span> A Technique for Image Segmentation Using K-Means Clustering Classification</h5> <div class="card-body"> <p class="card-text"><strong>Authors:</strong> <a href="https://publications.waset.org/abstracts/search?q=Sadia%20Basar">Sadia Basar</a>, <a href="https://publications.waset.org/abstracts/search?q=Naila%20Habib"> Naila Habib</a>, <a href="https://publications.waset.org/abstracts/search?q=Awais%20Adnan"> Awais Adnan</a> </p> <p class="card-text"><strong>Abstract:</strong></p> The paper presents the Technique for Image Segmentation Using K-Means Clustering Classification. The presented algorithms were specific, however, missed the neighboring information and required high-speed computerized machines to run the segmentation algorithms. Clustering is the process of partitioning a group of data points into a small number of clusters. The proposed method is content-aware and feature extraction method which is able to run on low-end computerized machines, simple algorithm, required low-quality streaming, efficient and used for security purpose. It has the capability to highlight the boundary and the object. At first, the user enters the data in the representation of the input. Then in the next step, the digital image is converted into groups clusters. Clusters are divided into many regions. The same categories with same features of clusters are assembled within a group and different clusters are placed in other groups. Finally, the clusters are combined with respect to similar features and then represented in the form of segments. The clustered image depicts the clear representation of the digital image in order to highlight the regions and boundaries of the image. At last, the final image is presented in the form of segments. All colors of the image are separated in clusters. <p class="card-text"><strong>Keywords:</strong> <a href="https://publications.waset.org/abstracts/search?q=clustering" title="clustering">clustering</a>, <a href="https://publications.waset.org/abstracts/search?q=image%20segmentation" title=" image segmentation"> image segmentation</a>, <a href="https://publications.waset.org/abstracts/search?q=K-means%20function" title=" K-means function"> K-means function</a>, <a href="https://publications.waset.org/abstracts/search?q=local%20and%20global%20minimum" title=" local and global minimum"> local and global minimum</a>, <a href="https://publications.waset.org/abstracts/search?q=region" title=" region"> region</a> </p> <a href="https://publications.waset.org/abstracts/25635/a-technique-for-image-segmentation-using-k-means-clustering-classification" class="btn btn-primary btn-sm">Procedia</a> <a href="https://publications.waset.org/abstracts/25635.pdf" target="_blank" class="btn btn-primary btn-sm">PDF</a> <span class="bg-info text-light px-1 py-1 float-right rounded"> Downloads <span class="badge badge-light">376</span> </span> </div> </div> <div class="card paper-listing mb-3 mt-3"> <h5 class="card-header" style="font-size:.9rem"><span class="badge badge-info">1585</span> Creation of Greater Mekong Subregion Regional Competitiveness through Cluster Mapping</h5> <div class="card-body"> <p class="card-text"><strong>Authors:</strong> <a href="https://publications.waset.org/abstracts/search?q=Danuvasin%20Charoen">Danuvasin Charoen</a> </p> <p class="card-text"><strong>Abstract:</strong></p> This research investigates cluster development in the area called the Greater Mekong Subregion (GMS), which consists of Thailand, the People’s Republic of China (PRC), the Yunnan Province and Guangxi Zhuang Autonomous Region, Myanmar, the Lao People’s Democratic Republic (Lao PDR), Cambodia, and Vietnam. The study utilized Porter’s competitiveness theory and the cluster mapping approach to analyze the competitiveness of the region. The data collection consists of interviews, focus groups, and the analysis of secondary data. The findings identify some evidence of cluster development in the GMS; however, there is no clear indication of collaboration among the components in the clusters. GMS clusters tend to be stand-alone. The clusters in Vietnam, Lao PDR, Myanmar, and Cambodia tend to be labor intensive, whereas the clusters in Thailand and the PRC (Yunnan) have the potential to successfully develop into innovative clusters. The collaboration and integration among the clusters in the GMS area are promising, though it could take a long time. The most likely relationship between the GMS countries could be, for example, suppliers of the low-end, labor-intensive products will be located in the low income countries such as Myanmar, Lao PDR, and Cambodia, and these countries will be providing input materials for innovative clusters in the middle income countries such as Thailand and the PRC. <p class="card-text"><strong>Keywords:</strong> <a href="https://publications.waset.org/abstracts/search?q=cluster" title="cluster">cluster</a>, <a href="https://publications.waset.org/abstracts/search?q=GMS" title=" GMS"> GMS</a>, <a href="https://publications.waset.org/abstracts/search?q=competitiveness" title=" competitiveness"> competitiveness</a>, <a href="https://publications.waset.org/abstracts/search?q=development" title=" development"> development</a> </p> <a href="https://publications.waset.org/abstracts/55430/creation-of-greater-mekong-subregion-regional-competitiveness-through-cluster-mapping" class="btn btn-primary btn-sm">Procedia</a> <a href="https://publications.waset.org/abstracts/55430.pdf" target="_blank" class="btn btn-primary btn-sm">PDF</a> <span class="bg-info text-light px-1 py-1 float-right rounded"> Downloads <span class="badge badge-light">262</span> </span> </div> </div> <div class="card paper-listing mb-3 mt-3"> <h5 class="card-header" style="font-size:.9rem"><span class="badge badge-info">1584</span> Digital Forensics Compute Cluster: A High Speed Distributed Computing Capability for Digital Forensics </h5> <div class="card-body"> <p class="card-text"><strong>Authors:</strong> <a href="https://publications.waset.org/abstracts/search?q=Daniel%20Gonzales">Daniel Gonzales</a>, <a href="https://publications.waset.org/abstracts/search?q=Zev%20Winkelman"> Zev Winkelman</a>, <a href="https://publications.waset.org/abstracts/search?q=Trung%20Tran"> Trung Tran</a>, <a href="https://publications.waset.org/abstracts/search?q=Ricardo%20Sanchez"> Ricardo Sanchez</a>, <a href="https://publications.waset.org/abstracts/search?q=Dulani%20Woods"> Dulani Woods</a>, <a href="https://publications.waset.org/abstracts/search?q=John%20Hollywood"> John Hollywood</a> </p> <p class="card-text"><strong>Abstract:</strong></p> We have developed a distributed computing capability, Digital Forensics Compute Cluster (DFORC2) to speed up the ingestion and processing of digital evidence that is resident on computer hard drives. DFORC2 parallelizes evidence ingestion and file processing steps. It can be run on a standalone computer cluster or in the Amazon Web Services (AWS) cloud. When running in a virtualized computing environment, its cluster resources can be dynamically scaled up or down using Kubernetes. DFORC2 is an open source project that uses Autopsy, Apache Spark and Kafka, and other open source software packages. It extends the proven open source digital forensics capabilities of Autopsy to compute clusters and cloud architectures, so digital forensics tasks can be accomplished efficiently by a scalable array of cluster compute nodes. In this paper, we describe DFORC2 and compare it with a standalone version of Autopsy when both are used to process evidence from hard drives of different sizes. <p class="card-text"><strong>Keywords:</strong> <a href="https://publications.waset.org/abstracts/search?q=digital%20forensics" title="digital forensics">digital forensics</a>, <a href="https://publications.waset.org/abstracts/search?q=cloud%20computing" title=" cloud computing"> cloud computing</a>, <a href="https://publications.waset.org/abstracts/search?q=cyber%20security" title=" cyber security"> cyber security</a>, <a href="https://publications.waset.org/abstracts/search?q=spark" title=" spark"> spark</a>, <a href="https://publications.waset.org/abstracts/search?q=Kubernetes" title=" Kubernetes"> Kubernetes</a>, <a href="https://publications.waset.org/abstracts/search?q=Kafka" title=" Kafka"> Kafka</a> </p> <a href="https://publications.waset.org/abstracts/73858/digital-forensics-compute-cluster-a-high-speed-distributed-computing-capability-for-digital-forensics" class="btn btn-primary btn-sm">Procedia</a> <a href="https://publications.waset.org/abstracts/73858.pdf" target="_blank" class="btn btn-primary btn-sm">PDF</a> <span class="bg-info text-light px-1 py-1 float-right rounded"> Downloads <span class="badge badge-light">394</span> </span> </div> </div> <div class="card paper-listing mb-3 mt-3"> <h5 class="card-header" style="font-size:.9rem"><span class="badge badge-info">1583</span> Evaluating the Impact of Cloud Computing on Collaboration Service in Knowledge Management Systems</h5> <div class="card-body"> <p class="card-text"><strong>Authors:</strong> <a href="https://publications.waset.org/abstracts/search?q=Hamid%20Reza%20Nikkhah">Hamid Reza Nikkhah</a>, <a href="https://publications.waset.org/abstracts/search?q=Abbas%20Toloei%20Eshlaghi"> Abbas Toloei Eshlaghi</a>, <a href="https://publications.waset.org/abstracts/search?q=Hossein%20Ali%20Momeni"> Hossein Ali Momeni</a> </p> <p class="card-text"><strong>Abstract:</strong></p> One of the most important services of Knowledge Management Systems (KMS) is collaboration service which plays a decisive role in organization efficiency. Cloud computing as one of the latest IT technologies has brought a new paradigm in delivering services and communications. In this research, we evaluate the impact of cloud computing on the collaboration service of KMS and for doing so, four variables of cloud computing and three variables of the collaboration service were detected to be assessed.It was found that cloud computing has a far-fetching direct impact on the collaboration service. <p class="card-text"><strong>Keywords:</strong> <a href="https://publications.waset.org/abstracts/search?q=cloud%20computing" title="cloud computing">cloud computing</a>, <a href="https://publications.waset.org/abstracts/search?q=collaboration%20service" title=" collaboration service"> collaboration service</a>, <a href="https://publications.waset.org/abstracts/search?q=knowledge%20management%20systems" title=" knowledge management systems"> knowledge management systems</a>, <a href="https://publications.waset.org/abstracts/search?q=cloud%20computing" title=" cloud computing"> cloud computing</a> </p> <a href="https://publications.waset.org/abstracts/26641/evaluating-the-impact-of-cloud-computing-on-collaboration-service-in-knowledge-management-systems" class="btn btn-primary btn-sm">Procedia</a> <a href="https://publications.waset.org/abstracts/26641.pdf" target="_blank" class="btn btn-primary btn-sm">PDF</a> <span class="bg-info text-light px-1 py-1 float-right rounded"> Downloads <span class="badge badge-light">521</span> </span> </div> </div> <div class="card paper-listing mb-3 mt-3"> <h5 class="card-header" style="font-size:.9rem"><span class="badge badge-info">1582</span> Efficient DNN Training on Heterogeneous Clusters with Pipeline Parallelism</h5> <div class="card-body"> <p class="card-text"><strong>Authors:</strong> <a href="https://publications.waset.org/abstracts/search?q=Lizhi%20Ma">Lizhi Ma</a>, <a href="https://publications.waset.org/abstracts/search?q=Dan%20Liu"> Dan Liu</a> </p> <p class="card-text"><strong>Abstract:</strong></p> Pipeline parallelism has been widely used to accelerate distributed deep learning to alleviate GPU memory bottlenecks and to ensure that models can be trained and deployed smoothly under limited graphics memory conditions. However, in highly heterogeneous distributed clusters, traditional model partitioning methods are not able to achieve load balancing. The overlap of communication and computation is also a big challenge. In this paper, HePipe is proposed, an efficient pipeline parallel training method for highly heterogeneous clusters. According to the characteristics of the neural network model pipeline training task, oriented to the 2-level heterogeneous cluster computing topology, a training method based on the 2-level stage division of neural network modeling and partitioning is designed to improve the parallelism. Additionally, a multi-forward 1F1B scheduling strategy is designed to accelerate the training time of each stage by executing the computation units in advance to maximize the overlap between the forward propagation communication and backward propagation computation. Finally, a dynamic recomputation strategy based on task memory requirement prediction is proposed to improve the fitness ratio of task and memory, which improves the throughput of the cluster and solves the memory shortfall problem caused by memory differences in heterogeneous clusters. The empirical results show that HePipe improves the training speed by 1.6×−2.2× over the existing asynchronous pipeline baselines. <p class="card-text"><strong>Keywords:</strong> <a href="https://publications.waset.org/abstracts/search?q=pipeline%20parallelism" title="pipeline parallelism">pipeline parallelism</a>, <a href="https://publications.waset.org/abstracts/search?q=heterogeneous%20cluster" title=" heterogeneous cluster"> heterogeneous cluster</a>, <a href="https://publications.waset.org/abstracts/search?q=model%20training" title=" model training"> model training</a>, <a href="https://publications.waset.org/abstracts/search?q=2-level%20stage%20partitioning" title=" 2-level stage partitioning"> 2-level stage partitioning</a> </p> <a href="https://publications.waset.org/abstracts/191050/efficient-dnn-training-on-heterogeneous-clusters-with-pipeline-parallelism" class="btn btn-primary btn-sm">Procedia</a> <a href="https://publications.waset.org/abstracts/191050.pdf" target="_blank" class="btn btn-primary btn-sm">PDF</a> <span class="bg-info text-light px-1 py-1 float-right rounded"> Downloads <span class="badge badge-light">18</span> </span> </div> </div> <div class="card paper-listing mb-3 mt-3"> <h5 class="card-header" style="font-size:.9rem"><span class="badge badge-info">1581</span> Atomic Clusters: A Unique Building Motif for Future Smart Nanomaterials</h5> <div class="card-body"> <p class="card-text"><strong>Authors:</strong> <a href="https://publications.waset.org/abstracts/search?q=Debesh%20R.%20Roy">Debesh R. Roy</a> </p> <p class="card-text"><strong>Abstract:</strong></p> The fundamental issue in understanding the origin and growth mechanism of nanomaterials, from a fundamental unit is a big challenging problem to the scientists. Recently, an immense attention is generated to the researchers for prediction of exceptionally stable atomic cluster units as the building units for future smart materials. The present study is a systematic investigation on the stability and electronic properties of a series of bimetallic (semiconductor-alkaline earth) clusters, viz., BxMg3 (x=1-5) is performed, in search for exceptional and/ or unusual stable motifs. A very popular hybrid exchange-correlation functional, B3LYP as proposed by A. D. Becke along with a higher basis set, viz., 6-31+G[d,p] is employed for this purpose under the density functional formalism. The magic stability among the concerned clusters is explained using the jellium model. It is evident from the present study that the magic stability of B4Mg3 cluster arises due to the jellium shell closure. <p class="card-text"><strong>Keywords:</strong> <a href="https://publications.waset.org/abstracts/search?q=atomic%20clusters" title="atomic clusters">atomic clusters</a>, <a href="https://publications.waset.org/abstracts/search?q=density%20functional%20theory" title=" density functional theory"> density functional theory</a>, <a href="https://publications.waset.org/abstracts/search?q=jellium%20model" title=" jellium model"> jellium model</a>, <a href="https://publications.waset.org/abstracts/search?q=magic%20clusters" title=" magic clusters"> magic clusters</a>, <a href="https://publications.waset.org/abstracts/search?q=smart%20nanomaterials" title=" smart nanomaterials"> smart nanomaterials</a> </p> <a href="https://publications.waset.org/abstracts/32430/atomic-clusters-a-unique-building-motif-for-future-smart-nanomaterials" class="btn btn-primary btn-sm">Procedia</a> <a href="https://publications.waset.org/abstracts/32430.pdf" target="_blank" class="btn btn-primary btn-sm">PDF</a> <span class="bg-info text-light px-1 py-1 float-right rounded"> Downloads <span class="badge badge-light">528</span> </span> </div> </div> <div class="card paper-listing mb-3 mt-3"> <h5 class="card-header" style="font-size:.9rem"><span class="badge badge-info">1580</span> The Effective Use of the Network in the Distributed Storage</h5> <div class="card-body"> <p class="card-text"><strong>Authors:</strong> <a href="https://publications.waset.org/abstracts/search?q=Mamouni%20Mohammed%20Dhiya%20Eddine">Mamouni Mohammed Dhiya Eddine</a> </p> <p class="card-text"><strong>Abstract:</strong></p> This work aims at studying the exploitation of high-speed networks of clusters for distributed storage. Parallel applications running on clusters require both high-performance communications between nodes and efficient access to the storage system. Many studies on network technologies led to the design of dedicated architectures for clusters with very fast communications between computing nodes. Efficient distributed storage in clusters has been essentially developed by adding parallelization mechanisms so that the server(s) may sustain an increased workload. In this work, we propose to improve the performance of distributed storage systems in clusters by efficiently using the underlying high-performance network to access distant storage systems. The main question we are addressing is: do high-speed networks of clusters fit the requirements of a transparent, efficient and high-performance access to remote storage? We show that storage requirements are very different from those of parallel computation. High-speed networks of clusters were designed to optimize communications between different nodes of a parallel application. We study their utilization in a very different context, storage in clusters, where client-server models are generally used to access remote storage (for instance NFS, PVFS or LUSTRE). Our experimental study based on the usage of the GM programming interface of MYRINET high-speed networks for distributed storage raised several interesting problems. Firstly, the specific memory utilization in the storage access system layers does not easily fit the traditional memory model of high-speed networks. Secondly, client-server models that are used for distributed storage have specific requirements on message control and event processing, which are not handled by existing interfaces. We propose different solutions to solve communication control problems at the filesystem level. We show that a modification of the network programming interface is required. Data transfer issues need an adaptation of the operating system. We detail several propositions for network programming interfaces which make their utilization easier in the context of distributed storage. The integration of a flexible processing of data transfer in the new programming interface MYRINET/MX is finally presented. Performance evaluations show that its usage in the context of both storage and other types of applications is easy and efficient. <p class="card-text"><strong>Keywords:</strong> <a href="https://publications.waset.org/abstracts/search?q=distributed%20storage" title="distributed storage">distributed storage</a>, <a href="https://publications.waset.org/abstracts/search?q=remote%20file%20access" title=" remote file access"> remote file access</a>, <a href="https://publications.waset.org/abstracts/search?q=cluster" title=" cluster"> cluster</a>, <a href="https://publications.waset.org/abstracts/search?q=high-speed%20network" title=" high-speed network"> high-speed network</a>, <a href="https://publications.waset.org/abstracts/search?q=MYRINET" title=" MYRINET"> MYRINET</a>, <a href="https://publications.waset.org/abstracts/search?q=zero-copy" title=" zero-copy"> zero-copy</a>, <a href="https://publications.waset.org/abstracts/search?q=memory%20registration" title=" memory registration"> memory registration</a>, <a href="https://publications.waset.org/abstracts/search?q=communication%20control" title=" communication control"> communication control</a>, <a href="https://publications.waset.org/abstracts/search?q=event%20notification" title=" event notification"> event notification</a>, <a href="https://publications.waset.org/abstracts/search?q=application%20programming%20interface" title=" application programming interface"> application programming interface</a> </p> <a href="https://publications.waset.org/abstracts/45739/the-effective-use-of-the-network-in-the-distributed-storage" class="btn btn-primary btn-sm">Procedia</a> <a href="https://publications.waset.org/abstracts/45739.pdf" target="_blank" class="btn btn-primary btn-sm">PDF</a> <span class="bg-info text-light px-1 py-1 float-right rounded"> Downloads <span class="badge badge-light">219</span> </span> </div> </div> <div class="card paper-listing mb-3 mt-3"> <h5 class="card-header" style="font-size:.9rem"><span class="badge badge-info">1579</span> A Non-parametric Clustering Approach for Multivariate Geostatistical Data</h5> <div class="card-body"> <p class="card-text"><strong>Authors:</strong> <a href="https://publications.waset.org/abstracts/search?q=Francky%20Fouedjio">Francky Fouedjio</a> </p> <p class="card-text"><strong>Abstract:</strong></p> Multivariate geostatistical data have become omnipresent in the geosciences and pose substantial analysis challenges. One of them is the grouping of data locations into spatially contiguous clusters so that data locations within the same cluster are more similar while clusters are different from each other, in some sense. Spatially contiguous clusters can significantly improve the interpretation that turns the resulting clusters into meaningful geographical subregions. In this paper, we develop an agglomerative hierarchical clustering approach that takes into account the spatial dependency between observations. It relies on a dissimilarity matrix built from a non-parametric kernel estimator of the spatial dependence structure of data. It integrates existing methods to find the optimal cluster number and to evaluate the contribution of variables to the clustering. The capability of the proposed approach to provide spatially compact, connected and meaningful clusters is assessed using bivariate synthetic dataset and multivariate geochemical dataset. The proposed clustering method gives satisfactory results compared to other similar geostatistical clustering methods. <p class="card-text"><strong>Keywords:</strong> <a href="https://publications.waset.org/abstracts/search?q=clustering" title="clustering">clustering</a>, <a href="https://publications.waset.org/abstracts/search?q=geostatistics" title=" geostatistics"> geostatistics</a>, <a href="https://publications.waset.org/abstracts/search?q=multivariate%20data" title=" multivariate data"> multivariate data</a>, <a href="https://publications.waset.org/abstracts/search?q=non-parametric" title=" non-parametric"> non-parametric</a> </p> <a href="https://publications.waset.org/abstracts/46870/a-non-parametric-clustering-approach-for-multivariate-geostatistical-data" class="btn btn-primary btn-sm">Procedia</a> <a href="https://publications.waset.org/abstracts/46870.pdf" target="_blank" class="btn btn-primary btn-sm">PDF</a> <span class="bg-info text-light px-1 py-1 float-right rounded"> Downloads <span class="badge badge-light">477</span> </span> </div> </div> <div class="card paper-listing mb-3 mt-3"> <h5 class="card-header" style="font-size:.9rem"><span class="badge badge-info">1578</span> Use of Cloud Computing and Smart Devices in Healthcare</h5> <div class="card-body"> <p class="card-text"><strong>Authors:</strong> <a href="https://publications.waset.org/abstracts/search?q=Nikunj%20Agarwal">Nikunj Agarwal</a>, <a href="https://publications.waset.org/abstracts/search?q=M.%20P.%20Sebastian"> M. P. Sebastian </a> </p> <p class="card-text"><strong>Abstract:</strong></p> Cloud computing can reduce the start-up expenses of implementing EHR (Electronic Health Records). However, many of the healthcare institutions are yet to implement cloud computing due to the associated privacy and security issues. In this paper, we analyze the challenges and opportunities of implementing cloud computing in healthcare. We also analyze data of over 5000 US hospitals that use Telemedicine applications. This analysis helps to understand the importance of smart phones over the desktop systems in different departments of the healthcare institutions. The wide usage of smartphones and cloud computing allows ubiquitous and affordable access to the health data by authorized persons, including patients and doctors. Cloud computing will prove to be beneficial to a majority of the departments in healthcare. Through this analysis, we attempt to understand the different healthcare departments that may benefit significantly from the implementation of cloud computing. <p class="card-text"><strong>Keywords:</strong> <a href="https://publications.waset.org/abstracts/search?q=cloud%20computing" title="cloud computing">cloud computing</a>, <a href="https://publications.waset.org/abstracts/search?q=smart%20devices" title=" smart devices"> smart devices</a>, <a href="https://publications.waset.org/abstracts/search?q=healthcare" title=" healthcare"> healthcare</a>, <a href="https://publications.waset.org/abstracts/search?q=telemedicine" title=" telemedicine"> telemedicine</a> </p> <a href="https://publications.waset.org/abstracts/39864/use-of-cloud-computing-and-smart-devices-in-healthcare" class="btn btn-primary btn-sm">Procedia</a> <a href="https://publications.waset.org/abstracts/39864.pdf" target="_blank" class="btn btn-primary btn-sm">PDF</a> <span class="bg-info text-light px-1 py-1 float-right rounded"> Downloads <span class="badge badge-light">396</span> </span> </div> </div> <div class="card paper-listing mb-3 mt-3"> <h5 class="card-header" style="font-size:.9rem"><span class="badge badge-info">1577</span> Calculation of Electronic Structures of Nickel in Interaction with Hydrogen by Density Functional Theoretical (DFT) Method</h5> <div class="card-body"> <p class="card-text"><strong>Authors:</strong> <a href="https://publications.waset.org/abstracts/search?q=Choukri%20Lekbir">Choukri Lekbir</a>, <a href="https://publications.waset.org/abstracts/search?q=Mira%20Mokhtari"> Mira Mokhtari</a> </p> <p class="card-text"><strong>Abstract:</strong></p> Hydrogen-Materials interaction and mechanisms can be modeled at nano scale by quantum methods. In this work, the effect of hydrogen on the electronic properties of a cluster material model «nickel» has been studied by using of density functional theoretical (DFT) method. Two types of clusters are optimized: Nickel and hydrogen-nickel system. In the case of nickel clusters (n = 1-6) without presence of hydrogen, three types of electronic structures (neutral, cationic and anionic), have been optimized according to three basis sets calculations (B3LYP/LANL2DZ, PW91PW91/DGDZVP2, PBE/DGDZVP2). The comparison of binding energies and bond lengths of the three structures of nickel clusters (neutral, cationic and anionic) obtained by those basis sets, shows that the results of neutral and anionic nickel clusters are in good agreement with the experimental results. In the case of neutral and anionic nickel clusters, comparing energies and bond lengths obtained by the three bases, shows that the basis set PBE/DGDZVP2 is most suitable to experimental results. In the case of anionic nickel clusters (n = 1-6) with presence of hydrogen, the optimization of the hydrogen-nickel (anionic) structures by using of the basis set PBE/DGDZVP2, shows that the binding energies and bond lengths increase compared to those obtained in the case of anionic nickel clusters without the presence of hydrogen, that reveals the armor effect exerted by hydrogen on the electronic structure of nickel, which due to the storing of hydrogen energy within nickel clusters structures. The comparison between the bond lengths for both clusters shows the expansion effect of clusters geometry which due to hydrogen presence. <p class="card-text"><strong>Keywords:</strong> <a href="https://publications.waset.org/abstracts/search?q=binding%20energies" title="binding energies">binding energies</a>, <a href="https://publications.waset.org/abstracts/search?q=bond%20lengths" title=" bond lengths"> bond lengths</a>, <a href="https://publications.waset.org/abstracts/search?q=density%20functional%20theoretical" title=" density functional theoretical"> density functional theoretical</a>, <a href="https://publications.waset.org/abstracts/search?q=geometry%20optimization" title=" geometry optimization"> geometry optimization</a>, <a href="https://publications.waset.org/abstracts/search?q=hydrogen%20energy" title=" hydrogen energy"> hydrogen energy</a>, <a href="https://publications.waset.org/abstracts/search?q=nickel%20cluster" title=" nickel cluster"> nickel cluster</a> </p> <a href="https://publications.waset.org/abstracts/23247/calculation-of-electronic-structures-of-nickel-in-interaction-with-hydrogen-by-density-functional-theoretical-dft-method" class="btn btn-primary btn-sm">Procedia</a> <a href="https://publications.waset.org/abstracts/23247.pdf" target="_blank" class="btn btn-primary btn-sm">PDF</a> <span class="bg-info text-light px-1 py-1 float-right rounded"> Downloads <span class="badge badge-light">422</span> </span> </div> </div> <div class="card paper-listing mb-3 mt-3"> <h5 class="card-header" style="font-size:.9rem"><span class="badge badge-info">1576</span> Cloud Computing: Major Issues and Solutions</h5> <div class="card-body"> <p class="card-text"><strong>Authors:</strong> <a href="https://publications.waset.org/abstracts/search?q=S.%20Adhirai%20Subramaniyam">S. Adhirai Subramaniyam</a>, <a href="https://publications.waset.org/abstracts/search?q=Paramjit%20Singh"> Paramjit Singh</a> </p> <p class="card-text"><strong>Abstract:</strong></p> This paper presents major issues in cloud computing. The paper describes different cloud computing deployment models and cloud service models available in the field of cloud computing. The paper then concentrates on various issues in the field. The issues such as cloud compatibility, compliance of the cloud, standardizing cloud technology, monitoring while on the cloud and cloud security are described. The paper suggests solutions for these issues and concludes that hybrid cloud infrastructure is a real boon for organizations. <p class="card-text"><strong>Keywords:</strong> <a href="https://publications.waset.org/abstracts/search?q=cloud" title="cloud">cloud</a>, <a href="https://publications.waset.org/abstracts/search?q=cloud%20computing" title=" cloud computing"> cloud computing</a>, <a href="https://publications.waset.org/abstracts/search?q=mobile%20cloud%20computing" title=" mobile cloud computing"> mobile cloud computing</a>, <a href="https://publications.waset.org/abstracts/search?q=private%20cloud" title=" private cloud"> private cloud</a>, <a href="https://publications.waset.org/abstracts/search?q=public%20cloud" title=" public cloud"> public cloud</a>, <a href="https://publications.waset.org/abstracts/search?q=hybrid%20cloud" title=" hybrid cloud"> hybrid cloud</a>, <a href="https://publications.waset.org/abstracts/search?q=SAAS" title=" SAAS"> SAAS</a>, <a href="https://publications.waset.org/abstracts/search?q=PAAS" title=" PAAS"> PAAS</a>, <a href="https://publications.waset.org/abstracts/search?q=IAAS" title=" IAAS"> IAAS</a>, <a href="https://publications.waset.org/abstracts/search?q=cloud%20security" title=" cloud security"> cloud security</a> </p> <a href="https://publications.waset.org/abstracts/67736/cloud-computing-major-issues-and-solutions" class="btn btn-primary btn-sm">Procedia</a> <a href="https://publications.waset.org/abstracts/67736.pdf" target="_blank" class="btn btn-primary btn-sm">PDF</a> <span class="bg-info text-light px-1 py-1 float-right rounded"> Downloads <span class="badge badge-light">343</span> </span> </div> </div> <div class="card paper-listing mb-3 mt-3"> <h5 class="card-header" style="font-size:.9rem"><span class="badge badge-info">1575</span> An E-Retailing System Architecture Based on Cloud Computing</h5> <div class="card-body"> <p class="card-text"><strong>Authors:</strong> <a href="https://publications.waset.org/abstracts/search?q=Chanchai%20Supaartagorn">Chanchai Supaartagorn</a> </p> <p class="card-text"><strong>Abstract:</strong></p> E-retailing is the sale of goods online that takes place over the Internet. The Internet has shrunk the entire World. The world e-retailing is growing at an exponential rate in the Americas, Europe, and Asia. However, e-retailing costs require expensive investment, such as hardware, software, and security systems. Cloud computing technology is internet-based computing for the management and delivery of applications and services. Cloud-based e-retailing application models allow enterprises to lower their costs with their effective implementation of e-retailing activities. In this paper, we describe the concept of cloud computing and present the architecture of cloud computing, combining the features of e-retailing. In addition, we propose a strategy for implementing cloud computing with e-retailing. Finally, we explain the benefits from the architecture. <p class="card-text"><strong>Keywords:</strong> <a href="https://publications.waset.org/abstracts/search?q=architecture" title="architecture">architecture</a>, <a href="https://publications.waset.org/abstracts/search?q=cloud%20computing" title=" cloud computing"> cloud computing</a>, <a href="https://publications.waset.org/abstracts/search?q=e-retailing" title=" e-retailing"> e-retailing</a>, <a href="https://publications.waset.org/abstracts/search?q=internet-based" title=" internet-based"> internet-based</a> </p> <a href="https://publications.waset.org/abstracts/28257/an-e-retailing-system-architecture-based-on-cloud-computing" class="btn btn-primary btn-sm">Procedia</a> <a href="https://publications.waset.org/abstracts/28257.pdf" target="_blank" class="btn btn-primary btn-sm">PDF</a> <span class="bg-info text-light px-1 py-1 float-right rounded"> Downloads <span class="badge badge-light">396</span> </span> </div> </div> <div class="card paper-listing mb-3 mt-3"> <h5 class="card-header" style="font-size:.9rem"><span class="badge badge-info">1574</span> Artificial Intelligence for Cloud Computing</h5> <div class="card-body"> <p class="card-text"><strong>Authors:</strong> <a href="https://publications.waset.org/abstracts/search?q=Sandesh%20Achar">Sandesh Achar</a> </p> <p class="card-text"><strong>Abstract:</strong></p> Artificial intelligence is being increasingly incorporated into many applications across various sectors such as health, education, security, and agriculture. Recently, there has been rapid development in cloud computing technology, resulting in AI’s implementation into cloud computing to enhance and optimize the technology service rendered. The deployment of AI in cloud-based applications has brought about autonomous computing, whereby systems achieve stated results without human intervention. Despite the amount of research into autonomous computing, work incorporating AI/ML into cloud computing to enhance its performance and resource allocation remain a fundamental challenge. This paper highlights different manifestations, roles, trends, and challenges related to AI-based cloud computing models. This work reviews and highlights excellent investigations and progress in the domain. Future directions are suggested for leveraging AI/ML in next-generation computing for emerging computing paradigms such as cloud environments. Adopting AI-based algorithms and techniques to increase operational efficiency, cost savings, automation, reducing energy consumption and solving complex cloud computing issues are the major findings outlined in this paper. <p class="card-text"><strong>Keywords:</strong> <a href="https://publications.waset.org/abstracts/search?q=artificial%20intelligence" title="artificial intelligence">artificial intelligence</a>, <a href="https://publications.waset.org/abstracts/search?q=cloud%20computing" title=" cloud computing"> cloud computing</a>, <a href="https://publications.waset.org/abstracts/search?q=deep%20learning" title=" deep learning"> deep learning</a>, <a href="https://publications.waset.org/abstracts/search?q=machine%20learning" title=" machine learning"> machine learning</a>, <a href="https://publications.waset.org/abstracts/search?q=internet%20of%20things" title=" internet of things"> internet of things</a> </p> <a href="https://publications.waset.org/abstracts/155411/artificial-intelligence-for-cloud-computing" class="btn btn-primary btn-sm">Procedia</a> <a href="https://publications.waset.org/abstracts/155411.pdf" target="_blank" class="btn btn-primary btn-sm">PDF</a> <span class="bg-info text-light px-1 py-1 float-right rounded"> Downloads <span class="badge badge-light">109</span> </span> </div> </div> <div class="card paper-listing mb-3 mt-3"> <h5 class="card-header" style="font-size:.9rem"><span class="badge badge-info">1573</span> Clustering Performance Analysis using New Correlation-Based Cluster Validity Indices</h5> <div class="card-body"> <p class="card-text"><strong>Authors:</strong> <a href="https://publications.waset.org/abstracts/search?q=Nathakhun%20Wiroonsri">Nathakhun Wiroonsri</a> </p> <p class="card-text"><strong>Abstract:</strong></p> There are various cluster validity measures used for evaluating clustering results. One of the main objectives of using these measures is to seek the optimal unknown number of clusters. Some measures work well for clusters with different densities, sizes and shapes. Yet, one of the weaknesses that those validity measures share is that they sometimes provide only one clear optimal number of clusters. That number is actually unknown and there might be more than one potential sub-optimal option that a user may wish to choose based on different applications. We develop two new cluster validity indices based on a correlation between an actual distance between a pair of data points and a centroid distance of clusters that the two points are located in. Our proposed indices constantly yield several peaks at different numbers of clusters which overcome the weakness previously stated. Furthermore, the introduced correlation can also be used for evaluating the quality of a selected clustering result. Several experiments in different scenarios, including the well-known iris data set and a real-world marketing application, have been conducted to compare the proposed validity indices with several well-known ones. <p class="card-text"><strong>Keywords:</strong> <a href="https://publications.waset.org/abstracts/search?q=clustering%20algorithm" title="clustering algorithm">clustering algorithm</a>, <a href="https://publications.waset.org/abstracts/search?q=cluster%20validity%20measure" title=" cluster validity measure"> cluster validity measure</a>, <a href="https://publications.waset.org/abstracts/search?q=correlation" title=" correlation"> correlation</a>, <a href="https://publications.waset.org/abstracts/search?q=data%20partitions" title=" data partitions"> data partitions</a>, <a href="https://publications.waset.org/abstracts/search?q=iris%20data%20set" title=" iris data set"> iris data set</a>, <a href="https://publications.waset.org/abstracts/search?q=marketing" title=" marketing"> marketing</a>, <a href="https://publications.waset.org/abstracts/search?q=pattern%20recognition" title=" pattern recognition"> pattern recognition</a> </p> <a href="https://publications.waset.org/abstracts/147709/clustering-performance-analysis-using-new-correlation-based-cluster-validity-indices" class="btn btn-primary btn-sm">Procedia</a> <a href="https://publications.waset.org/abstracts/147709.pdf" target="_blank" class="btn btn-primary btn-sm">PDF</a> <span class="bg-info text-light px-1 py-1 float-right rounded"> Downloads <span class="badge badge-light">103</span> </span> </div> </div> <div class="card paper-listing mb-3 mt-3"> <h5 class="card-header" style="font-size:.9rem"><span class="badge badge-info">1572</span> Towards a Common Architecture for Cloud Computing Interoperability</h5> <div class="card-body"> <p class="card-text"><strong>Authors:</strong> <a href="https://publications.waset.org/abstracts/search?q=Sana%20Kouchi">Sana Kouchi</a>, <a href="https://publications.waset.org/abstracts/search?q=Hassina%20Nacer"> Hassina Nacer</a>, <a href="https://publications.waset.org/abstracts/search?q=Kadda%20Beghdad-bey"> Kadda Beghdad-bey</a> </p> <p class="card-text"><strong>Abstract:</strong></p> Cloud computing is growing very fast in the market and has become one of the most controversial discussed developments in recent years. Cloud computing providers become very numerous in these areas and each of them prefers its own cloud computing infrastructure, due to the incompatibility of standards and cloud access formats, which prevents them from accepting to support cloud computing applications in a standardized manner, this heterogeneity creates the problem of interoperability between clouds, and considering that cloud customers are probably in search of an interoperable cloud computing, where they will have total control over their applications and simply migrate their services as needed, without additional development investment. A cloud federation strategy should be considered. In this article, we propose a common architecture for the cloud that is based on existing architectures and also the use of best practices from ICT frameworks, such as IBM, ITIL, NIST, etc., to address the interoperability of architectures issues in a multi-cloud system. <p class="card-text"><strong>Keywords:</strong> <a href="https://publications.waset.org/abstracts/search?q=cloud%20computing" title="cloud computing">cloud computing</a>, <a href="https://publications.waset.org/abstracts/search?q=reference%20architecture" title=" reference architecture"> reference architecture</a>, <a href="https://publications.waset.org/abstracts/search?q=interoperability" title=" interoperability"> interoperability</a>, <a href="https://publications.waset.org/abstracts/search?q=standard" title=" standard"> standard</a> </p> <a href="https://publications.waset.org/abstracts/129198/towards-a-common-architecture-for-cloud-computing-interoperability" class="btn btn-primary btn-sm">Procedia</a> <a href="https://publications.waset.org/abstracts/129198.pdf" target="_blank" class="btn btn-primary btn-sm">PDF</a> <span class="bg-info text-light px-1 py-1 float-right rounded"> Downloads <span class="badge badge-light">172</span> </span> </div> </div> <div class="card paper-listing mb-3 mt-3"> <h5 class="card-header" style="font-size:.9rem"><span class="badge badge-info">1571</span> Unpleasant Symptom Clusters Influencing Quality of Life among Patients with Chronic Kidney Disease</h5> <div class="card-body"> <p class="card-text"><strong>Authors:</strong> <a href="https://publications.waset.org/abstracts/search?q=Anucha%20Taiwong">Anucha Taiwong</a>, <a href="https://publications.waset.org/abstracts/search?q=Nirobol%20Kanogsunthornrat"> Nirobol Kanogsunthornrat</a> </p> <p class="card-text"><strong>Abstract:</strong></p> This predictive research aimed to investigate the symptom clusters that influence the quality of life among patients with chronic kidney disease, as indicated in the Theory of Unpleasant Symptoms. The purposive sample consisted of 150 patients with stage 3-4 chronic kidney disease who received care at an outpatient chronic kidney disease clinic of a tertiary hospital in Roi-Et province. Data were collected from January to March 2016 by using a patient general information form, unpleasant symptom form, and quality of life (SF-36) and were analyzed by using descriptive statistics, factor analysis, and multiple regression analysis. Findings revealed six core symptom clusters including symptom cluster of the mental and emotional conditions, peripheral nerves abnormality, fatigue, gastro-intestinal tract, pain and, waste congestion. Significant predictors for quality of life were the two symptom clusters of pain (Beta = -.220; p < .05) and the mental and emotional conditions (Beta=-.204; p<.05) which had predictive value of 19.10% (R2=.191, p<.05). This study indicated that the symptom cluster of pain and the mental and emotional conditions would worsen the patients’ quality of life. Nurses should be attentive in managing the two symptom clusters to facilitate the quality of life among patients with chronic kidney disease. <p class="card-text"><strong>Keywords:</strong> <a href="https://publications.waset.org/abstracts/search?q=chronic%20kidney%20disease" title="chronic kidney disease">chronic kidney disease</a>, <a href="https://publications.waset.org/abstracts/search?q=symptom%20clusters" title=" symptom clusters"> symptom clusters</a>, <a href="https://publications.waset.org/abstracts/search?q=predictors%20of%20quality%20of%20life" title=" predictors of quality of life"> predictors of quality of life</a>, <a href="https://publications.waset.org/abstracts/search?q=pre-dialysis" title=" pre-dialysis"> pre-dialysis</a> </p> <a href="https://publications.waset.org/abstracts/85629/unpleasant-symptom-clusters-influencing-quality-of-life-among-patients-with-chronic-kidney-disease" class="btn btn-primary btn-sm">Procedia</a> <a href="https://publications.waset.org/abstracts/85629.pdf" target="_blank" class="btn btn-primary btn-sm">PDF</a> <span class="bg-info text-light px-1 py-1 float-right rounded"> Downloads <span class="badge badge-light">318</span> </span> </div> </div> <ul class="pagination"> <li class="page-item disabled"><span class="page-link">&lsaquo;</span></li> <li class="page-item active"><span class="page-link">1</span></li> <li class="page-item"><a class="page-link" href="https://publications.waset.org/abstracts/search?q=computing%20clusters&page=2">2</a></li> <li class="page-item"><a class="page-link" href="https://publications.waset.org/abstracts/search?q=computing%20clusters&page=3">3</a></li> <li class="page-item"><a class="page-link" href="https://publications.waset.org/abstracts/search?q=computing%20clusters&page=4">4</a></li> <li class="page-item"><a class="page-link" href="https://publications.waset.org/abstracts/search?q=computing%20clusters&page=5">5</a></li> <li class="page-item"><a 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