Effective management of green Cloud data centers using energy storage technologies

A. Barkat, A. Capone
{"title":"Effective management of green Cloud data centers using energy storage technologies","authors":"A. Barkat, A. Capone","doi":"10.1109/SOFTCOM.2015.7314085","DOIUrl":null,"url":null,"abstract":"Energy storage technologies make the green energy more available by attenuating the problem of its intermittent generation, and then reduce carbon emissions by decreasing the use of brown energies (like those from oil and natural gas). The use of batteries in data centers and Cloud infrastructures is one of the most promising applications of energy storage. In this paper, we analyze the problem of optimizing the use of green energy in geographically distributed Cloud data centers using batteries for energy storage. We propose a MILP (Mixed Integer Linear Programming) model that is able to capture the main design and management issues and to provide the optimal configuration considering service scenarios and storage capacities. The model also consider the network interconnecting the data centers and its energy consumption so as to redirect requests to different data center locations when this is convenient from the energy point of view.","PeriodicalId":264787,"journal":{"name":"2015 23rd International Conference on Software, Telecommunications and Computer Networks (SoftCOM)","volume":"4 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2015-11-02","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"3","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"2015 23rd International Conference on Software, Telecommunications and Computer Networks (SoftCOM)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/SOFTCOM.2015.7314085","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 3

Abstract

Energy storage technologies make the green energy more available by attenuating the problem of its intermittent generation, and then reduce carbon emissions by decreasing the use of brown energies (like those from oil and natural gas). The use of batteries in data centers and Cloud infrastructures is one of the most promising applications of energy storage. In this paper, we analyze the problem of optimizing the use of green energy in geographically distributed Cloud data centers using batteries for energy storage. We propose a MILP (Mixed Integer Linear Programming) model that is able to capture the main design and management issues and to provide the optimal configuration considering service scenarios and storage capacities. The model also consider the network interconnecting the data centers and its energy consumption so as to redirect requests to different data center locations when this is convenient from the energy point of view.
利用能源存储技术有效管理绿色云数据中心
能源储存技术通过减少间歇性发电的问题使绿色能源更容易获得,然后通过减少棕色能源(如石油和天然气)的使用来减少碳排放。在数据中心和云基础设施中使用电池是能源存储最有前途的应用之一。在本文中,我们分析了在地理分布的云数据中心中使用电池进行能量存储的绿色能源的优化使用问题。我们提出了一个MILP(混合整数线性规划)模型,该模型能够捕获主要的设计和管理问题,并提供考虑业务场景和存储容量的最佳配置。该模型还考虑了数据中心互连网络及其能耗,以便在从能耗角度考虑方便的情况下将请求重定向到不同的数据中心位置。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
求助全文
约1分钟内获得全文 求助全文
来源期刊
自引率
0.00%
发文量
0
×
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
确定
请完成安全验证×
copy
已复制链接
快去分享给好友吧!
我知道了
右上角分享
点击右上角分享
0
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 布克学术 All rights reserved.
京ICP备2023020795号-1
ghs 京公网安备 11010802042870号
Book学术文献互助
Book学术文献互助群
群 号:481959085
Book学术官方微信