文章基本信息

标题：An Efficient Load Balancing for Cloud Computing Environment Using an Enhance Particle Swarm Optimisation Algorithm
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作者：Okere Chidiebere Emmanuel ; Mustapha Lawal Abdurlrahman ; Muhammad iLamir iIsah 等
期刊名称：International Journal of Advances in Engineering and Management
电子版ISSN：2395-5252
出版年度：2021
卷号：3
期号：8
页码：1408-1414
DOI：10.35629/5252-030812341240
语种：English
出版社：IJAEM JOURNAL
摘要：Task scheduling is the most important requirement on a cloud as it plays the key role of ensuring that the whole cloud computing facilities are used efficiently. Task scheduling ensures that best suitable resources required for a task to be executed are provided so that efficiency can be achieved with respect to different performance metrics like time, cost, scalability, make span, reliability, availability, throughput, resource utilization and so on. The proposed algorithm’s design is anchored on reliability and availability. Because achieving these performance metrics is complex, a mathematical model was proposed for load balancing. This goal is to balance a particle swarm through efficient scheduling of tasks and adequate resource allocation by taking into account the following parameters: reliability, execution time, transmission time, make span, round trip time, transmission cost and load balancing between tasks and virtual machine. The proposed algorithm can play a role in achieving reliability of a typical cloud computing environment. The proposed method was compared with standard PSO, and Longest Cloudlet to Fastest Processor (LCFP) algorithm and results show that the Proposed PSObased algorithm is efficient with respect to Makespan, Average Waiting Time, Average Response Time, and Time Complexity.