云架构下负载均衡算法的性能分析

Q1 Computer Science IEEE Cloud Computing Pub Date : 2021-10-01 DOI:10.1109/IEEECloudSummit52029.2021.00020

Samirah Salifu, Nathan Turlington, Michael Galloway

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引用次数: 0

摘要

负载平衡是在服务器之间分配作业请求的过程。有许多不同的负载平衡算法，如轮询、加权轮询和最小连接，可用于处理生物信息学工具。云计算可以与生物信息学一起使用来创建一个生物云程序。需要开发一种动态负载平衡算法来正确处理分布式生物信息学任务。在这个实验中，FastQC作业被用于所有的测试用例。设计了四种算法来分配一种作业:系统负载、%CPU、空闲RAM和轮询。数据结果表明，FastQC作业是CPU密集型的，但不是RAM密集型的。最有效的算法是%CPU。

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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Performance Profiling of Load Balancing Algorithms in a Cloud Architecture

Load balancing is the process of distributing job requests among servers. There are many different load balancing algorithms, such as round robin, weighted round robin, and least connections, that can be used to process bioinformatics tools. Cloud computing can be used with bioinformatics to create a BioCloud program. A dynamic load balancing algorithm needs to be developed to properly handle distributing bioinformatics jobs. In this experiment, the FastQC job was used for all test cases. Four algorithms were designed to distribute the one type of job: system load, %CPU, free RAM, and round robin. The results of the data show that the FastQC job is CPU intensive, but not RAM intensive. The most efficient algorithm was %CPU.

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来源期刊

IEEE Cloud Computing Computer Science-Computer Networks and Communications

CiteScore

11.20

自引率

0.00%

发文量

期刊介绍： Cessation. IEEE Cloud Computing is committed to the timely publication of peer-reviewed articles that provide innovative research ideas, applications results, and case studies in all areas of cloud computing. Topics relating to novel theory, algorithms, performance analyses and applications of techniques are covered. More specifically: Cloud software, Cloud security, Trade-offs between privacy and utility of cloud, Cloud in the business environment, Cloud economics, Cloud governance, Migrating to the cloud, Cloud standards, Development tools, Backup and recovery, Interoperability, Applications management, Data analytics, Communications protocols, Mobile cloud, Private clouds, Liability issues for data loss on clouds, Data integration, Big data, Cloud education, Cloud skill sets, Cloud energy consumption, The architecture of cloud computing, Applications in commerce, education, and industry, Infrastructure as a Service (IaaS), Platform as a Service (PaaS), Software as a Service (SaaS), Business Process as a Service (BPaaS)