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Intra Rack Traffic Communication and Peers aware Placement Algorithm for Cloud Data Centers

机译:云数据中心的机架内交通通信和对等感知放置算法

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Clouds composed of a collection of resources but in a virtual form which can be provisioned on demand and depending on the cloud customer’s needs. Cloud computing customers are in continuous increase which leads to massive resources demand. The process of resource placement efficiently has become a critical problem to be solved in the cloud data center to satisfy the cloud customers demand with low cost for the cloud provider. Over the last eight years, the placement of the virtual machines in cloud environment was a major research subject. Different algorithms have been proposed to achieve the optimal placement results. The majority of these algorithms focused on the optimization based on the CPU and memory as resources, while not giving considerable attention to the network. Few algorithms considered the network communication in the data center but most of them were mono objective. This paper represents a joint objective network communication aware VM placement algorithm, which aims to reduce the intra traffic communication in the cloud data center. This algorithm called Intra Rack Traffic Communication and Peers aware algorithm (IRTCP). The IRTCP has proved better results compared to the common algorithms and the initial placement.
机译:由资源集合组成的云,但是可以虚拟形式,可以根据云客户的需求按需进行配置。云计算客户不断增长,导致对大量资源的需求。有效地资源放置过程已经成为云数据中心要解决的关键问题,以低成本为云提供商满足云客户的需求。在过去的八年中,虚拟机在云环境中的放置是一个主要的研究课题。已经提出了不同的算法来获得最佳的放置结果。这些算法中的大多数都集中在基于CPU和内存作为资源的优化上,而没有对网络给予过多关注。很少有算法考虑数据中心中的网络通信,但是大多数算法都是单目标的。本文提出了一种联合目标网络通信感知的VM放置算法,旨在减少云数据中心的内部流量通信。该算法称为机架内交通通信和对等感知算法(IRTCP)。与常规算法和初始放置相比,IRTCP已被证明具有更好的结果。

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