Energy Efficiency of Data Center Network Based on Software Defined Network

Farniwati Fattah, Herdianti Darwis, Huzain Azis, Wistiani Astuti, Fitriyani Umar, Erick Irawadi Alwi
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Abstract

Energy efficiency in Data Center Network (DCN) realizes the concept of green computing in saving energy use and costs. Servers and networks are DCN elements that use the most energy. Thus, energy efficiency methods use the Virtual Machine (VM) assignment approach for servers, and traffic engineering for networks. Both of these methods are developed on the concept of DCN as the current network paradigm with a traffic-aware and end-host solution approach. This paper used descriptive method to explain three methods of energy efficiency in DCN applied to SDN network. The methods are ElasticTree, CARPO, and Honeyguide which use Fat-Tree as DCN topology. The ElasticTree and CARPO methods use the traffic-aware solution approach for saving energy on DCN network while the Honeyguide is as an end-host aware solution for combining servers and networks. The result of this paper, we Figure out the relationship between energy efficiency methods in DCN and SDN in Fat-Tree topology, so that it can be the basis for the development of the next method.
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基于软件定义网络的数据中心网络能效研究
数据中心网络能源效率(DCN)实现了绿色计算的概念,节约了能源使用和成本。服务器和网络是DCN中消耗能源最多的部分。因此,能效方法对服务器使用虚拟机(VM)分配方法,对网络使用流量工程。这两种方法都是基于DCN作为当前网络范例的概念开发的,具有流量感知和终端主机解决方案方法。本文用描述性的方法阐述了DCN在SDN网络中应用的三种能效方法。采用Fat-Tree作为DCN拓扑的方法有ElasticTree、CARPO和Honeyguide。ElasticTree和CARPO方法采用流量感知解决方案,实现DCN网络的节能;Honeyguide方法采用终端主机感知解决方案,实现服务器与网络的结合。本文的研究结果表明,在Fat-Tree拓扑下,DCN中的能效方法与SDN中的能效方法之间存在一定的关系,为下一步方法的开发奠定了基础。
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