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ICCBD'' 2025: International Conference on Cloud Computing and Big Data
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Additionally, the conference aims to facilitate an understanding of academic development trends, broaden research ideas, strengthen academic research and discussion, as well as promote the industrialization and cooperation of academic achievements. We extend a warm welcome to experts from universities, scientific researcher institutions, scholars, business circles, and other relevant personnel to contribute their expertise and participate in the conference. Through this event, participating scholars will have the opportunity to listen to insightful presentations by renowned experts and share leading research achievements and innovative ideas within the industry. Topics include but are not limited to the following areas: 1、Cloud Computing Cloud application architectures Cloud middleware frameworks Cloud economics Cloud computing and blockchain Cloud management and operations Cloud computing models Cloud optimization and automation Cloud security and privacy protection Mobile computing and edge computing Cloud application scalability and availability Cloud for enterprise business transformation Network service computing Cloud quality and performance Distributed, and peer-to-peer search Cloud solution design patterns Virtualization Distributed storage Time series analysis Cloud resource virtualization and composition Infrastructure and platform for smart computing Models and tools for smart computing Cloud computing and semantic web technologies Cloud computing architecture and systems Cloud computing technologies and applications Cloud applications performance and monitoring Parallel computing and multimedia computing Cloud computing simulations, designs, and paradigms 2、Big Data Foundational models for big data Big data privacy and security Statistical models and learning Big data systems Intelligent information processing Data classification and clustering Digital city and intelligent building 5g and networks for big data Big data archiving and preservation Memory systems Big data search Algorithms and programming techniques for big data processing Network infrastructure High-performance computing Multimedia communication technology Multi-core computing Fault tolerance and reliability Visual graphics Data analysis and data mining Big data analysis search and mining Distributed resource scheduling and optimization</pre><div class="alert alert-warning"> Last updated by <a href="/researcher/1">Dou Sun</a> in 2025-02-08</div> </div> </div> <!-- <div class="hidden-phone"> <div align="center"> <table border="0" align="center" cellpadding="0" cellspacing="1" class="noScroll"> <tr> <td width="180"><div align="center"> <a 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Society</td><td>2185-310X</td></tr> <tr class="even"> <td><span class="badge badge-warning">a</span></td><td><a href="/journal/104">ACM Transactions on Information Systems</a></td><td>5.400</td><td>ACM</td><td>1046-8188</td></tr> </tbody> </table><div class="keys" style="display:none" title="/conference/4626"><span>438</span><span>364</span><span>162</span><span>736</span><span>657</span><span>746</span><span>1108</span><span>832</span><span>998</span><span>104</span></div> </div></div> <div class="visible-phone"> <div id="yw7" class="grid-view"> <table class="table table-hover table-striped table-bordered table-condensed"> <thead> <tr> <th id="yw7_c0">Full Name</th><th id="yw7_c1">Impact Factor</th><th id="yw7_c2">Publisher</th></tr> </thead> <tbody> <tr class="odd"> <td><a href="/journal/438">Advances in Data Analysis and Classification</a></td><td>1.400</td><td>Springer</td></tr> <tr class="even"> <td><a href="/journal/364">Computers & Mathematics with 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href="/journal/104">ACM Transactions on Information Systems</a></td><td>5.400</td><td>ACM</td></tr> </tbody> </table><div class="keys" style="display:none" title="/conference/4626"><span>438</span><span>364</span><span>162</span><span>736</span><span>657</span><span>746</span><span>1108</span><span>832</span><span>998</span><span>104</span></div> </div></div> </div> </div> <div class="portlet" id="yw8"> <div class="portlet-decoration"> <div class="portlet-title"><i class="icon icon-eye-open"></i> Recommendation</div> </div> <div class="portlet-content"> <div align="center"> <script async src="//pagead2.googlesyndication.com/pagead/js/adsbygoogle.js"></script> <!-- Recommendation --> <ins class="adsbygoogle" style="display:block" data-ad-client="ca-pub-6743617430731451" data-ad-slot="1870704128" data-ad-format="autorelaxed"></ins> <script> (adsbygoogle = window.adsbygoogle || []).push({}); </script> </div> </div> </div> </div><!--/span--> <div class="span2 hidden-phone"> <div 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