Collaborative Cloud Resource Management and Task Consolidation Using JAYA Variants

IF 4.7 2区计算机科学 Q1 COMPUTER SCIENCE, INFORMATION SYSTEMS

IEEE Transactions on Network and Service Management Pub Date : 2024-08-14 DOI:10.1109/TNSM.2024.3443285

Kaushik Mishra;Santosh Kumar Majhi;Kshira Sagar Sahoo;Sourav Kumar Bhoi;Monowar Bhuyan;Amir H. Gandomi

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引用次数: 0

Abstract

In Cloud-based computing, job scheduling and load balancing are vital to ensure on-demand dynamic resource provisioning. However, reducing the scheduling parameters may affect datacenter performance due to the fluctuating on-demand requests. To deal with the aforementioned challenges, this research proposes a job scheduling algorithm, which is an improved version of a swarm intelligence algorithm. Two approaches, namely linear weight JAYA (LWJAYA) and chaotic JAYA (CJAYA), are implemented to improve the convergence speed for optimal results. Besides, a load-balancing technique is incorporated in line with job scheduling. Dynamically independent and non-pre-emptive jobs were considered for the simulations, which were simulated on two disparate test cases with homogeneous and heterogeneous VMs. The efficiency of the proposed technique was validated against a synthetic and real-world dataset from NASA, and evaluated against several top-of-the-line intelligent optimization techniques, based on the Holm’s test and Friedman test. Findings of the experiment show that the suggested approach performs better than the alternative approaches.

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使用 JAYA 变体进行协作式云资源管理和任务整合

在基于云的计算中，作业调度和负载平衡对于确保按需动态资源供应至关重要。但是，由于按需请求的波动，减少调度参数可能会影响数据中心的性能。为了应对上述挑战，本研究提出了一种作业调度算法，该算法是一种改进的群智能算法。采用线性加权JAYA （LWJAYA）和混沌JAYA （CJAYA）两种方法提高了最优结果的收敛速度。此外，在作业调度中引入了负载平衡技术。仿真考虑了动态独立和非抢占作业，分别在同构和异构虚拟机的两个不同测试用例上进行了仿真。根据NASA的合成数据集和真实数据集验证了该技术的有效性，并根据Holm测试和Friedman测试对几种顶级智能优化技术进行了评估。实验结果表明，所提方法的性能优于备选方法。

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

IEEE Transactions on Network and Service Management Computer Science-Computer Networks and Communications

CiteScore

9.30

自引率

15.10%

发文量

325

期刊介绍： IEEE Transactions on Network and Service Management will publish (online only) peerreviewed archival quality papers that advance the state-of-the-art and practical applications of network and service management. Theoretical research contributions (presenting new concepts and techniques) and applied contributions (reporting on experiences and experiments with actual systems) will be encouraged. These transactions will focus on the key technical issues related to: Management Models, Architectures and Frameworks; Service Provisioning, Reliability and Quality Assurance; Management Functions; Enabling Technologies; Information and Communication Models; Policies; Applications and Case Studies; Emerging Technologies and Standards.