Applicability of MMRR load balancing algorithm in cloud computing

IF 0.9 Q3 COMPUTER SCIENCE, THEORY & METHODS
Abiodun Kazeem Moses, J. B. Awotunde, R. Ogundokun, S. Misra, E. Adeniyi
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引用次数: 16

Abstract

One of cloud computing’s fundamental problems is the balancing of loads, which is essential for evenly distributing the workload across all nodes. This study proposes a new load balancing algorithm, which combines maximum-minimum and round-robin (MMRR) algorithm so that tasks with long execution time are allocated using maximum-minimum and tasks with lowest execution task will be assigned using round-robin. Cloud analyst tool was used to introduce the new load balancing techniques, and a comparative analysis with the existing algorithm was conducted to optimize cloud services to clients. The study findings indicate that ’MMRR has brought significant changes to cloud services. MMRR performed better from the algorithms tested based on the whole response time and cost-effectiveness (89%). The study suggested that MMRR should be implemented for enhancing user satisfaction in the cloud service.
MMRR负载均衡算法在云计算中的适用性
云计算的基本问题之一是负载平衡,这对于在所有节点上均匀分配工作负载至关重要。本文提出了一种新的负载均衡算法,将最大最小和轮询(MMRR)算法相结合,对执行时间长的任务采用最大最小分配,对执行时间最短的任务采用轮询分配。利用云分析工具引入新的负载均衡技术,并与现有算法进行对比分析,优化客户端云服务。研究结果表明,MMRR给云服务带来了重大变化。从基于整个响应时间和成本效益的算法测试来看,MMRR表现更好(89%)。本研究建议应实施MMRR,以提高云服务的用户满意度。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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来源期刊
International Journal of Computer Mathematics: Computer Systems Theory
International Journal of Computer Mathematics: Computer Systems Theory Computer Science-Computational Theory and Mathematics
CiteScore
1.80
自引率
0.00%
发文量
11
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