基于软件定义网络的数据中心网络能效研究

Farniwati Fattah, Herdianti Darwis, Huzain Azis, Wistiani Astuti, Fitriyani Umar, Erick Irawadi Alwi
{"title":"基于软件定义网络的数据中心网络能效研究","authors":"Farniwati Fattah, Herdianti Darwis, Huzain Azis, Wistiani Astuti, Fitriyani Umar, Erick Irawadi Alwi","doi":"10.1109/EIConCIT.2018.8878624","DOIUrl":null,"url":null,"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.","PeriodicalId":424909,"journal":{"name":"2018 2nd East Indonesia Conference on Computer and Information Technology (EIConCIT)","volume":"56 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2018-11-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"Energy Efficiency of Data Center Network Based on Software Defined Network\",\"authors\":\"Farniwati Fattah, Herdianti Darwis, Huzain Azis, Wistiani Astuti, Fitriyani Umar, Erick Irawadi Alwi\",\"doi\":\"10.1109/EIConCIT.2018.8878624\",\"DOIUrl\":null,\"url\":null,\"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.\",\"PeriodicalId\":424909,\"journal\":{\"name\":\"2018 2nd East Indonesia Conference on Computer and Information Technology (EIConCIT)\",\"volume\":\"56 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2018-11-01\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"2018 2nd East Indonesia Conference on Computer and Information Technology (EIConCIT)\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/EIConCIT.2018.8878624\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"2018 2nd East Indonesia Conference on Computer and Information Technology (EIConCIT)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/EIConCIT.2018.8878624","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 0

摘要

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。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
查看原文
分享 分享
微信好友 朋友圈 QQ好友 复制链接
本刊更多论文
Energy Efficiency of Data Center Network Based on Software Defined Network
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.
求助全文
通过发布文献求助,成功后即可免费获取论文全文。 去求助
来源期刊
自引率
0.00%
发文量
0
期刊最新文献
Experimental Study on Zoning, Histogram, and Structural Methods to Classify Sundanese Characters from Handwriting Medicine Stock Forecasting Using Least Square Method Sentiment Analysis of Product Reviews using Naive Bayes Algorithm: A Case Study [EIConCIT 2018 Cover Page] Keynote Speech 3 Internet of Things (IoT) Technology For Star Fruit Plantation
×
引用
GB/T 7714-2015
复制
MLA
复制
APA
复制
导出至
BibTeX EndNote RefMan NoteFirst NoteExpress
×
×
提示
您的信息不完整,为了账户安全,请先补充。
现在去补充
×
提示
您因"违规操作"
具体请查看互助需知
我知道了
×
提示
现在去查看 取消
×
提示
确定
0
微信
客服QQ
Book学术公众号 扫码关注我们
反馈
×
意见反馈
请填写您的意见或建议
请填写您的手机或邮箱
已复制链接
已复制链接
快去分享给好友吧!
我知道了
×
扫码分享
扫码分享
Book学术官方微信
Book学术文献互助
Book学术文献互助群
群 号:481959085
Book学术
文献互助 智能选刊 最新文献 互助须知 联系我们:info@booksci.cn
Book学术提供免费学术资源搜索服务,方便国内外学者检索中英文文献。致力于提供最便捷和优质的服务体验。
Copyright © 2023 Book学术 All rights reserved.
ghs 京公网安备 11010802042870号 京ICP备2023020795号-1