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Dynamic Rightsizing with Quality-Controlled Algorithms in Virtualization Environments

机译:虚拟环境中使用质量控制算法的动态版权调整

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Virtualization and partitioning are the means by which multiple application instances can share and run multiple virtual machines supported by a platform. In a Green Cloud environment, the goal is to consolidate multiple applications onto virtual machines associated by fewer servers, and reduce cost and complexity, increase agility, and lower power and cooling costs. To make Cloud center greener, it is beneficial to limit the amount of active servers to minimize energy consumption. This paper presents a precise model to formulate the right-sizing and energy-saving mechanism, which not only minimizes energy consumption of the server but also maintains a service quality through the M/M/Vi strategy of queuing theory. The authors map the complicated formula of the energy-saving mechanism to an approximation equation and design the fast decidable algorithms for calculating the right size of virtual machines in constant time complexity for power management systems. 【Keywords】Cloud Computing;Green Cloud;Energy-Saving;Queuing, Theory Virtual Machine
机译:虚拟化和分区是多个应用程序实例可以共享和运行平台支持的多个虚拟机的方法。在绿色云环境中,目标是将多个应用程序整合到由较少服务器关联的虚拟机上,从而降低成本和复杂性,提高敏捷性以及降低电源和冷却成本。为了使Cloud Center更环保,限制活动服务器的数量以最大程度地减少能耗是有益的。本文提出了一个精确的模型来制定正确的大小调整和节能机制,该模型不仅可以最大程度地减少服务器的能耗,而且可以通过M / M / Vi排队论来保持服务质量。作者将节能机制的复杂公式映射为一个近似方程,并设计了可快速确定的算法,用于在恒定时间复杂度下为电源管理系统计算虚拟机的正确大小。 【关键词】云计算;绿色云;节能;排队论虚拟机

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