云环境下多工作流的节能调度

R. Garg, Neha Shukla
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引用次数: 2

摘要

云计算使随用随付模式的效用计算成为可能。它通过轮询和共享资源来虚拟化系统,因此我们需要同时处理多个工作流。工作流是表示科学和工程领域中计算密集型应用的标准。因此,在本文中,作者提出了在云环境中并行运行的多个工作流的调度启发式,目的是降低能耗,因为它是云数据中心的主要关注点之一,同时也是执行性能。在该方法中,首先进行聚类以最小化优先约束任务对应的通信期间的能耗和执行时间。然后调度集群是在可用的最节能的资源上。最后,为了进一步降低节点在空闲和通信阶段的能耗,采用了DVFS。在CloudSim上进行了模拟,结果显示能耗降低了42%。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Energy Efficient Scheduling for Multiple Workflows in Cloud Environment
Cloud computing makes utility computing possible with pay as you go model. It virtualizes the systems by polling and sharing the resources, thus we need to handle more than one workflow at the same time. Workflow is the standard to represent compute intensive applications in scientific and engineering domain. Hence, in this article, the authors presented the scheduling heuristic for multiple workflows running parallel in the cloud environment with the aim to reduce the energy consumption as it is one of the major concerns of cloud data centers along with the execution performance. In the proposed approach, first clustering is performed to minimize the energy consumption and execution time during communication corresponding to precedence constraint tasks. Then cluster are scheduled is on the best available energy efficient resources. Finally, DVFS is applied in order to reduce energy consumption further when the nodes are in the idle and communication stage. The simulation has been performed on CloudSim and the results show the reduction in energy consumption by up to 42%.
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