Paying to save: Reducing cost of colocation data center via rewards

M. A. Islam, Hasan Mahmud, Shaolei Ren, Xiaorui Wang
{"title":"Paying to save: Reducing cost of colocation data center via rewards","authors":"M. A. Islam, Hasan Mahmud, Shaolei Ren, Xiaorui Wang","doi":"10.1109/HPCA.2015.7056036","DOIUrl":null,"url":null,"abstract":"Power-hungry data centers face an urgent pressure on reducing the energy cost. The existing efforts, despite being numerous, have primarily centered around owner-operated data centers (e.g., Google), leaving another critical data center segment - colocation data center (e.g., Equinix) which rents out physical space to multiple tenants for housing their own servers - much less explored. Colocations have a major barrier to achieve cost efficiency: server power management by individual tenants is uncoordinated. This paper proposes RECO (REward for COst reduction), which shifts tenants' power management from uncoordinated to coordinated, using financial reward as a lever. RECO pays (voluntarily participating) tenants for energy reduction such that the colocation operator's overall cost is minimized. RECO incorporates the time-varying operation environment (e.g., cooling efficiency, intermittent renewables), addresses the peak power demand charge, and also proactively learns tenants' unknown responses to the offered reward. RECO includes a new feedback-based online algorithm to optimize the reward without far future offline information. We evaluate RECO using both scaled-down prototype experiments and simulations. Our results show that RECO is \"win-win\" and can successfully reduce the colocation operator's overall cost, by up to 27% compared to the no-incentive baseline case. Further, tenants receive financial rewards (up to 15% of their colocation costs) for \"free\" without violating Service Level Agreements.","PeriodicalId":6593,"journal":{"name":"2015 IEEE 21st International Symposium on High Performance Computer Architecture (HPCA)","volume":"38 1","pages":"235-245"},"PeriodicalIF":0.0000,"publicationDate":"2015-02-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"51","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"2015 IEEE 21st International Symposium on High Performance Computer Architecture (HPCA)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/HPCA.2015.7056036","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 51

Abstract

Power-hungry data centers face an urgent pressure on reducing the energy cost. The existing efforts, despite being numerous, have primarily centered around owner-operated data centers (e.g., Google), leaving another critical data center segment - colocation data center (e.g., Equinix) which rents out physical space to multiple tenants for housing their own servers - much less explored. Colocations have a major barrier to achieve cost efficiency: server power management by individual tenants is uncoordinated. This paper proposes RECO (REward for COst reduction), which shifts tenants' power management from uncoordinated to coordinated, using financial reward as a lever. RECO pays (voluntarily participating) tenants for energy reduction such that the colocation operator's overall cost is minimized. RECO incorporates the time-varying operation environment (e.g., cooling efficiency, intermittent renewables), addresses the peak power demand charge, and also proactively learns tenants' unknown responses to the offered reward. RECO includes a new feedback-based online algorithm to optimize the reward without far future offline information. We evaluate RECO using both scaled-down prototype experiments and simulations. Our results show that RECO is "win-win" and can successfully reduce the colocation operator's overall cost, by up to 27% compared to the no-incentive baseline case. Further, tenants receive financial rewards (up to 15% of their colocation costs) for "free" without violating Service Level Agreements.
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
为节省而付费:通过奖励降低托管数据中心的成本
耗电的数据中心面临着降低能源成本的紧迫压力。现有的努力,尽管数量众多,但主要集中在所有者运营的数据中心(例如,Google),而另一个关键的数据中心部分——主机托管数据中心(例如,Equinix),它将物理空间出租给多个租户,以容纳他们自己的服务器——很少被探索。主机托管在实现成本效率方面存在一个主要障碍:各个租户的服务器电源管理不协调。本文提出了RECO (REward for COst reduction)模式,以财务奖励为杠杆,将租户的电力管理从不协调转向协调。RECO向(自愿参与的)租户支付节能费用,从而将托管运营商的总成本降至最低。RECO结合时变的运行环境(例如,冷却效率,间歇性可再生能源),解决峰值电力需求费用,并主动了解租户对所提供奖励的未知反应。RECO包括一种新的基于反馈的在线算法来优化奖励,而不需要遥远的离线信息。我们使用缩小的原型实验和模拟来评估RECO。我们的研究结果表明,RECO是“双赢”的,与没有激励的基准情况相比,它可以成功地降低托管运营商的总成本,最多可降低27%。此外,在不违反服务水平协议的情况下,租户可以“免费”获得经济奖励(高达其托管成本的15%)。
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 去求助
来源期刊
自引率
0.00%
发文量
0
期刊最新文献
Parameter Identification Inverse Problems of Partial Differential Equations Based on the Improved Gene Expression Programming High-Efficiency Realization of SRT Division on Ternary Optical Computers A Fast Training Method for Transductive Support Vector Machine in Semi-supervised Learning Performance Optimization of a DEM Simulation Framework on GPU Using a Stencil Model A Platform for Routine Development of Ternary Optical Computers
×
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