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首页> 外文期刊>International Journal of Innovative Computing Information and Control >ENERGY-EFFICIENT VIRTUAL MACHINE SCHEDULING STRATEGY WITH SEMI-SLEEP MODE ON THE CLOUD PLATFORM
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ENERGY-EFFICIENT VIRTUAL MACHINE SCHEDULING STRATEGY WITH SEMI-SLEEP MODE ON THE CLOUD PLATFORM

机译：在云平台上采用半睡眠模式的高效节能虚拟机调度策略

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摘要

With the rapid increases in service types of cloud computing and the number of cloud resources, energy consumption is also growing. In order to achieve the goal of environmental protection and provide timely service for cloud users, we propose a virtual machine (VM) scheduling strategy with semi-sleep mode on the cloud platform. Based on the working principle of the proposed strategy, we establish a continuous-time queueing model with multiple asynchronous working vacation. By using the method of quasi birth and death (QBD) process and matrix geometric solution, we evaluate the VM scheduling strategy in terms of the average latency of requests as well as the energy-saving rate of system, and investigate the impact of the semi-sleep mode of the strategy on the system performance. Statistical experiments with analysis and simulation show that, by setting reasonable system parameters, the energy consumption could be reduced effectively with the constraint of response performance of users. In addition, we establish a cost function to optimize the semi-sleep parameter.
机译：随着云计算服务类型和云资源数量的快速增长，能源消耗也在增长。为了实现环境保护的目标并为云用户提供及时的服务，我们在云平台上提出了一种具有半睡眠模式的虚拟机调度策略。基于所提出策略的工作原理，建立了具有多个异步工作休假的连续时间排队模型。通过使用准生死（QBD）处理方法和矩阵几何解决方案，我们根据请求的平均延迟和系统节能率评估了VM调度策略，并研究了半成品的影响。 -sleep模式的策略对系统性能的影响。统计分析和仿真实验表明，通过设置合理的系统参数，可以在用户响应性能的约束下有效降低能耗。此外，我们建立了一个成本函数来优化半睡眠参数。

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