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Crow search based virtual machine placement strategy in cloud data centers with live migration

机译:乌鸦在云数据中心的基于虚拟机展示策略与实时迁移

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摘要

Cloud computing has emerged as the most revolutionary technology in the field of computing. The cloud service providers (CSPs) have high computational facilities called data centers (DCs) at their disposal. CSPs provide services to the users through virtual machines (VMs). VM placement is the mapping of VMs onto physical machine called hosts. In this paper, we propose a two-tier virtual machine placement algorithm. Firstly, we propose a queueing structure to manage and schedule a large set of VMs. Secondly, a multi-objective VM placement algorithm called crow search based VM placement (CSAVMP) is proposed to reduce the resources wastage and power consumption at the data centers. VM migration is an indispensable part of any cloud platform for activities like maintenance, load balancing, fault tolerance etc. Three different migration strategies namely serial, parallel, improved serial have been tested and a comparative result has been produced. (C) 2017 Elsevier Ltd. All rights reserved.
机译:云计算已成为计算领域中最革命性的技术。 云服务提供商(CSP)拥有高计算设施,称为数据中心(DCS)。 CSP通过虚拟机(VM)为用户提供服务。 VM Placement是VM的映射到名为Hosts的物理计算机上。 在本文中,我们提出了一种双层虚拟机放置算法。 首先,我们提出了一种排队结构来管理和安排一组大量VM。 其次,提出了一种称为乌鸦搜索的VM放置(CSAVMP)的多目标VM放置算法,以降低数据中心的资源浪费和功耗。 VM迁移是任何云平台的不可或缺的一部分,用于维护,负载平衡,容错等。三种不同的迁移策略即串行,并行,改进的串行已经进行了测试,并产生了比较结果。 (c)2017 Elsevier Ltd.保留所有权利。

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