文章基本信息

标题：Design of Self-Management Aware Autonomic Resource Scheduling Scheme in Cloud
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作者：Bhupesh Kumar Dewangan ; Amit Agarwal ; Venkatadri M. 等
期刊名称：International Journal of Computer Information Systems and Industrial Management Applications
印刷版ISSN：2150-7988
电子版ISSN：2150-7988
出版年度：2019
卷号：11
页码：170-177
出版社：Machine Intelligence Research Labs (MIR Labs)
摘要：Cloud computing is an emerging technology through which resources can be shared over the internet with different users either free or on a rent basis. Resource scheduling in cloud computing is a challenging area for researchers as is maximum utilization can opt through efficient resource scheduling algorithm. In this environment, incalculability, and expansion of resources meeting the problem of allocation. Other than this, virtual machine provisioning, packaging, and availability guarantee decrease the performance. To avoid this, an efficient resource management technique is required, which will manage the resources effectively, guarantee the availability, and execute the workloads automatically. In this paper, we present an autonomic resource management technique named as SMART (Self-management aware autonomic resource management technique for cloud). SMART offers self-optimization for maximum resource utilization, self-healing to avoid failures on execution, self-protection to stop multiple requests from the user, and self-configuration to make sure the availability of resources. We have implemented and evaluated the performance of SMART in cloudsim 3.0 and the experimental results of proposed work perform better in terms of SAL violation rate, cost, energy consumption, resource utilization and execution time.
关键词：Cloud Computing; Self;management; Performance; Resource Utilization; Cost; Energy; SLA Violation; QoS;