<?xml version="1.0" encoding="UTF-8"?> <article key="pdf/2216" mdate="2010-05-27 00:00:00"> <author>Vishnu Kant Soni and Raksha Sharma and Manoj Kumar Mishra</author> <title>GroupingBased Job Scheduling Model In Grid Computing</title> <pages>961 - 964</pages> <year>2010</year> <volume>4</volume> <number>5</number> <journal>International Journal of Information and Communication Engineering</journal> <ee>https://publications.waset.org/pdf/2216</ee> <url>https://publications.waset.org/vol/41</url> <publisher>World Academy of Science, Engineering and Technology</publisher> <abstract>Grid computing is a high performance computing environment to solve larger scale computational applications. Grid computing contains resource management, job scheduling, security problems, information management and so on. Job scheduling is a fundamental and important issue in achieving high performance in grid computing systems. However, it is a big challenge to design an efficient scheduler and its implementation. In Grid Computing, there is a need of further improvement in Job Scheduling algorithm to schedule the lightweight or small jobs into a coarsegrained or group of jobs, which will reduce the communication time, processing time and enhance resource utilization. This Grouping strategy considers the processing power, memorysize and bandwidth requirements of each job to realize the real grid system. The experimental results demonstrate that the proposed scheduling algorithm efficiently reduces the processing time of jobs in comparison to others.</abstract> <index>Open Science Index 41, 2010</index> </article>