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A New Scalable and Energy Efficient Algorithm for VMs Reassignment in Cloud Data Centers

机译:云数据中心中的VMS重新分配新的可扩展和节能算法

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To improve resource utilization in Cloud Data Centers and in order to reduce energy consumption at the same time, reassignment of services is required and leads to efficient operational costs. This paper presents a new and scalable algorithm based on b-matching theory to judiciously replace resources (considered as Virtual Machines in our work) according to energy consumption constraints. Our algorithm is benchmarked by an exact approach based on an Integer Linear Program (ILP) formulation of the Bin-Packing problem. The b-Matching algorithm allows to find near-optimal solutions and scale for large problem instances.
机译:为了提高云数据中心的资源利用率,为了同时降低能耗,需要重新分配服务并导致有效的运营成本。本文根据能量消耗约束,基于B匹配理论的基于B匹配理论的新且可扩展的算法,以便根据能量消耗约束来替换资源(考虑为我们的工作中的虚拟机)。我们的算法通过基于垃圾包装问题的整数线性程序(ILP)制定的精确方法基准。 B匹配算法允许为大问题实例找到近最佳解决方案和规模。

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