基于改进联赛冠军算法(ILCA)的云计算负载均衡

IF 0.3
A. Gaikwad, Kavita Singh
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引用次数: 0

摘要

如果没有规划,您就无法获得所需的结果,因此它是云计算的核心。本文的主要目标是减少增值时间,提高资源利用率,并使云服务适用于单个活动。近年来,在众多作业调度技术中,元启发式算法引起了人们对作业调度算法正确运行的关注。对于体育联盟来说,基于联赛冠军(LCA)的算法非常吸引人,因为它可以用来确定最适合编程的团队/任务。本文使用改进的联赛冠军算法(ILCA)来安排任务,减少部署时间、云使用和成本。ILCA通过Cloudsim模拟器和Java编程语言实现,采用非预防性规划策略。ILCA还提高了规模经济,并最大限度地降低了使用云的价值。由于它已被证明在制造时间、资源使用和经济方面是通用的,ILCA可能是云代理的一个很好的候选者,因为它已被证明在制造时间、资源使用和经济使用方面是通用的。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Improved League Championship Algorithm (ILCA) for Load Balancing in Cloud Computing
You can’t obtain the outcomes you need without planning, thus it’s at the heart of cloud computing. This article’s major goal is to decrease value-added time, increase resource utilisation, and make cloud services viable for a single activity. In recent years, metaheuristic algorithms have drew attention to the correct functioning of work scheduling algorithms among the many job scheduling techniques. With sports leagues, the algorithm based on the League Championship (LCA) is fascinating because it can be used to identify the best team/task for programming.This article uses the Improved League Championship Algorithm (ILCA) to schedule tasks, reducing deployment time, cloud usage, and cost. The ILCA is implemented through the Cloudsim simulator and the Java programming language with a nonpreventive planning strategy. ILCA also enhances economies of scale and minimises the value of using the cloud. As it has proven to be versatile in terms of time to manufacture, resource usage and economics, ILCA could be a good candidate for a cloud broker as it has proven to be versatile in termsof time to manufacture, resource usage and economics usage.
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来源期刊
International Journal of Next-Generation Computing
International Journal of Next-Generation Computing COMPUTER SCIENCE, THEORY & METHODS-
自引率
66.70%
发文量
60
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