文章基本信息

标题：Improved Context Aware PSO Task Scheduling in Cloud Computing
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作者：B. Siva Rama Krishna ; E. Sreenivasa Reddy
期刊名称：Webology
印刷版ISSN：1735-188X
出版年度：2022
卷号：19
期号：1
页码：3709-3721
DOI：10.14704/WEB/V19I1/WEB19244
语种：English
出版社：University of Tehran
摘要：One of the major advantages of switching to the clouds is the scalability ability of the applications. Contrary to the grids, the ability to scale the cloud resources allows their real-time provisioning so as to meet the application constraints Generation of optimal schedule for given set of tasks and machines. Different experiments show that although having an optimum solution is almost impossible but having a sub-optimal solution using heuristic algorithms seems possible. In this paper, we propose a Context Aware PSO Task Scheduling scheme to analyze various scenarios with different parameters in cloud computing system corresponding to APSO In each scenario, we change one parameter and keep other parameters constant.
关键词：Cloud Computing;Task Scheduling;Particle Swarm Optimization;Nearest Neighbours