使用虚拟机重新分配的数据中心网络和电源感知框架

Suheib Alhiyari, A. El-Mousa
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引用次数: 2

摘要

最近的许多研究提出了使用各种技术的节能方法,如动态电压缩放(DVFS)、CPU空闲和数据中心中的服务器整合。此外,服务器整合技术可能会引入许多网络问题。在本研究中,我们介绍了一种称为网络和电源感知(NPA)服务器整合的增强技术,该技术将在主机之间动态重新分配虚拟机,从而降低功耗,节省带宽,缓解交换机和路由器上行链路上的流量拥堵,甚至提高云数据中心的整体网络性能。我们在评估中使用Cloudsim作为模拟器。我们根据网络性能、数据中心的总吞吐量、迁移总数和总功耗对SLA的违反情况,将我们提出的算法与DVFS和静态阈值VM重新分配与随机选择(ThrRs)技术进行了比较。结果表明,我们提出的方法节省了电力,解决了网络问题,提高了整体网络性能。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
A Network and Power Aware framework for data centers using virtual machines re-allocation
Many recent studies have proposed energy efficient approaches that use various techniques such as Dynamic Voltage Scaling (DVFS), CPU idling, and server consolidation in data centers. Also, many networking problems could be introduced by server consolidation techniques. In this research, we introduce an enhanced technique called Network and Power Aware (NPA) server consolidation that will dynamically reallocate VMs between hosts in a manner that reduces the power consumption, conserves bandwidth, mitigates the traffic congestion at the uplinks of the switches and routers, and even enhances the overall network performance of cloud data centers. We used Cloudsim as a simulator in our evaluation. We compared our proposed algorithm with DVFS and Static Threshold VM reallocation with Random selection (ThrRs) techniques based on SLA violations due to network performance, the total throughput of the data center, total number of migrations and the total power consumed. The results confirm that our proposed approach conserves power, resolves networking problems and enhances the overall network performance.
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