Multi-Objective Optimization Techniques in Cloud Task Scheduling: A Systematic Literature Review

IF 3.4 3区 计算机科学 Q2 COMPUTER SCIENCE, INFORMATION SYSTEMS IEEE Access Pub Date : 2025-01-15 DOI:10.1109/ACCESS.2025.3529839
Olanrewaju L. Abraham;Md Asri Bin Ngadi;Johan Bin Mohamad Sharif;Mohd Kufaisal Mohd Sidik
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Abstract

Task scheduling in cloud computing environment aims to identify alternative methods for effectively allocating competing cloud tasks to constrained resources, optimizing one or more objectives. This systematic literature review (SLR) examines advancements in multi-objective optimization techniques for cloud task scheduling from year 2010 to October 2024, providing an up-to-date analysis of the field. Cloud task scheduling, critical for optimizing performance, cost, and resource use, increasingly relies on multi-objective approaches to address complex and competing scheduling goals. This comprehensive review presents a detailed taxonomy and classification of multi-objective optimization methods, highlighting trends and developments across various approaches. Additionally, we conduct a comparative analysis of key scheduling objectives, testing environments, statistical evaluation methods, and datasets employed in recent studies, offering insights into current practices and best-fit approaches for different scenarios. The findings of this SLR aim to guide researchers and practitioners in selecting appropriate techniques, metrics, and datasets, supporting effective decision-making and advancing the design of cloud task scheduling systems.
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云任务调度中的多目标优化技术:系统的文献综述
云计算环境中的任务调度旨在确定替代方法,以有效地将竞争的云任务分配给受限的资源,优化一个或多个目标。本系统文献综述(SLR)研究了从2010年到2024年10月云任务调度的多目标优化技术的进展,提供了该领域的最新分析。云任务调度对于优化性能、成本和资源使用至关重要,它越来越依赖于多目标方法来解决复杂和相互竞争的调度目标。这篇全面的综述介绍了多目标优化方法的详细分类和分类,突出了各种方法的趋势和发展。此外,我们还对最近研究中使用的关键调度目标、测试环境、统计评估方法和数据集进行了比较分析,为不同场景的当前实践和最适合的方法提供了见解。本研究的结果旨在指导研究人员和从业者选择适当的技术、指标和数据集,支持有效的决策和推进云任务调度系统的设计。
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来源期刊
IEEE Access
IEEE Access COMPUTER SCIENCE, INFORMATION SYSTEMSENGIN-ENGINEERING, ELECTRICAL & ELECTRONIC
CiteScore
9.80
自引率
7.70%
发文量
6673
审稿时长
6 weeks
期刊介绍: IEEE Access® is a multidisciplinary, open access (OA), applications-oriented, all-electronic archival journal that continuously presents the results of original research or development across all of IEEE''s fields of interest. IEEE Access will publish articles that are of high interest to readers, original, technically correct, and clearly presented. Supported by author publication charges (APC), its hallmarks are a rapid peer review and publication process with open access to all readers. Unlike IEEE''s traditional Transactions or Journals, reviews are "binary", in that reviewers will either Accept or Reject an article in the form it is submitted in order to achieve rapid turnaround. Especially encouraged are submissions on: Multidisciplinary topics, or applications-oriented articles and negative results that do not fit within the scope of IEEE''s traditional journals. Practical articles discussing new experiments or measurement techniques, interesting solutions to engineering. Development of new or improved fabrication or manufacturing techniques. Reviews or survey articles of new or evolving fields oriented to assist others in understanding the new area.
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