Yoonseon Han, Sin-Seok Seo, Jian Li, J. Hyun, Jae-Hyoung Yoo, J. W. Hong
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引用次数: 34
Abstract
Today's Data Center Networks (DCNs) contain tens of thousands of hosts with significant bandwidth requirements as the needs for cloud computing, multimedia contents, and big data analysis are increasing. However, the existing DCN technologies accompany the following two problems. First, power consumptions of a DCN is constant regardless of the utilization of network resources. Second, due to a static routing scheme, a few links in DCNs are experiencing congestions while other majority links are being underutilized. To overcome these limitations of the current DCNs, we propose a Software Defined Networking (SDN)-based Traffic Engineering (TE), which consists of optimal topology composition and traffic load balancing. We can reduce the power consumptions of the DCN by turning off links and switches that are not included in the optimal subset topology. To diminish network congestions, the traffic load balancing distributes ever-changing traffic demands over the found optimal subset topology. Simulation results revealed that the proposed SDN-based TE approach can reduce power consumptions of a DCN about 41% and Maximum Link Utilization (MLU) about 60% on average in comparison with a static routing scheme.
随着云计算、多媒体内容、大数据分析等需求的增长，目前的数据中心网络(Data Center network, dcn)包含数以万计的主机，对带宽的要求也越来越高。然而，现有的DCN技术伴随着以下两个问题。首先，无论网络资源的利用率如何，DCN的功耗是恒定的。其次，由于静态路由方案，dcn中的一些链路出现拥塞，而其他大多数链路未得到充分利用。为了克服当前DCNs的这些限制，我们提出了一种基于软件定义网络(SDN)的流量工程(TE)，它由最优拓扑组成和流量负载均衡组成。我们可以通过关闭不包括在最优子集拓扑中的链路和交换机来降低DCN的功耗。为了减少网络拥塞，流量负载均衡将不断变化的流量需求分配到找到的最优子集拓扑上。仿真结果表明，与静态路由方案相比，提出的基于sdn的TE方案可使DCN的功耗平均降低41%，最大链路利用率平均降低60%。
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