Improving revenue for reliability-aware VDC embedding in a software-defined data center

Xuemin Wen, Yanni Han, Ting Yu, Xin Chen, Zhen Xu
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引用次数: 4

Abstract

It is a challenge to improve utilization of physical resources when allocating resources for virtual data centers (VDCs). In this work we proposed two reliability-aware VDC embedding methods NMP and NMPD. To reduce embedding cost, the proposals try to split VMs into clusters based on topological potential and modularity and assign each cluster to a server. Via simulations, we show that NMP can accept more VDCs and help InPs improve the revenue. Although accepting a little less VDCs, NMPD can reduce resources occupied by VDCs and alleviate the congestion of core links.
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提高在软件定义数据中心中嵌入可靠性感知VDC的收益
在为vdc分配资源时,如何提高物理资源的利用率是一个难题。本文提出了两种可靠性感知的VDC嵌入方法NMP和NMPD。为了降低嵌入成本,该方法尝试基于拓扑潜力和模块化将虚拟机划分为集群,并将每个集群分配给一个服务器。通过仿真,我们表明NMP可以接受更多的vdc,并帮助inp提高收入。NMPD虽然接收的vdc较少,但可以减少vdc占用的资源,缓解核心链路的拥塞。
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MSRT: Multi-Source Request and Transmission in Content-Centric Networks Tube caching: An effective caching scheme in Content-Centric Networking DVMP: Incremental traffic-aware VM placement on heterogeneous servers in data centers Adaptive rate control over mobile data networks with heuristic rate compensations Selecting most informative contributors with unknown costs for budgeted crowdsensing
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