环境机会计算将数据中心转变为经济和环境的可持续性

P. Brenner, Ryan Jansen, D. Go, D. Thain
{"title":"环境机会计算将数据中心转变为经济和环境的可持续性","authors":"P. Brenner, Ryan Jansen, D. Go, D. Thain","doi":"10.1109/GREENCOMP.2010.5598289","DOIUrl":null,"url":null,"abstract":"The United States Environmental Protection Agency forecasts the 2011 national IT electric energy expenditure will grow toward $7.4 billion [1]. In parallel to economic IT energy concerns, the general public and environmental advocacy groups are demanding proactive steps toward sustainable green processes. Our contribution to the solution of this problem is Environmentally Opportunistic Computing (EOC). Our Green Cloud EOC prototype serves as an operational demonstration that IT resources can be integrated with the dominate energy footprint of existing facilities and dynamically controlled to balance process throughput, thermal transfer, and available cooling via process management and migration. The Green Cloud is a sustainable computing technology that complements existing efficiency improvements at the application, operating system and hardware levels. Exhaust heat energy is transferred directly to an adjacent greenhouse facility and cooling is provided by free cooling methods. We will describe the architecture and operation of this successful prototype that has led to its growing use in our production environments.","PeriodicalId":262148,"journal":{"name":"International Conference on Green Computing","volume":"243 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2010-08-15","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"4","resultStr":"{\"title\":\"Environmentally Opportunistic Computing transforming the data center for economic and environmental sustainability\",\"authors\":\"P. Brenner, Ryan Jansen, D. Go, D. Thain\",\"doi\":\"10.1109/GREENCOMP.2010.5598289\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"The United States Environmental Protection Agency forecasts the 2011 national IT electric energy expenditure will grow toward $7.4 billion [1]. In parallel to economic IT energy concerns, the general public and environmental advocacy groups are demanding proactive steps toward sustainable green processes. Our contribution to the solution of this problem is Environmentally Opportunistic Computing (EOC). Our Green Cloud EOC prototype serves as an operational demonstration that IT resources can be integrated with the dominate energy footprint of existing facilities and dynamically controlled to balance process throughput, thermal transfer, and available cooling via process management and migration. The Green Cloud is a sustainable computing technology that complements existing efficiency improvements at the application, operating system and hardware levels. Exhaust heat energy is transferred directly to an adjacent greenhouse facility and cooling is provided by free cooling methods. We will describe the architecture and operation of this successful prototype that has led to its growing use in our production environments.\",\"PeriodicalId\":262148,\"journal\":{\"name\":\"International Conference on Green Computing\",\"volume\":\"243 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2010-08-15\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"4\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"International Conference on Green Computing\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/GREENCOMP.2010.5598289\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"International Conference on Green Computing","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/GREENCOMP.2010.5598289","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 4

摘要

美国环境保护署预测2011年全国IT电力能源支出将增长到74亿美元[1]。在关注经济IT能源问题的同时,公众和环境倡导团体也要求采取积极主动的措施,实现可持续的绿色进程。我们对解决这个问题的贡献是环境机会计算(EOC)。我们的绿色云EOC原型作为一个操作演示,表明IT资源可以与现有设施的主要能源足迹集成,并通过过程管理和迁移动态控制以平衡过程吞吐量、热传递和可用冷却。绿色云是一种可持续的计算技术,在应用程序、操作系统和硬件层面补充了现有的效率改进。废气热能直接转移到邻近的温室设施,并通过自由冷却方法提供冷却。我们将描述这个成功的原型的架构和操作,这使得它在我们的生产环境中越来越多地使用。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Environmentally Opportunistic Computing transforming the data center for economic and environmental sustainability
The United States Environmental Protection Agency forecasts the 2011 national IT electric energy expenditure will grow toward $7.4 billion [1]. In parallel to economic IT energy concerns, the general public and environmental advocacy groups are demanding proactive steps toward sustainable green processes. Our contribution to the solution of this problem is Environmentally Opportunistic Computing (EOC). Our Green Cloud EOC prototype serves as an operational demonstration that IT resources can be integrated with the dominate energy footprint of existing facilities and dynamically controlled to balance process throughput, thermal transfer, and available cooling via process management and migration. The Green Cloud is a sustainable computing technology that complements existing efficiency improvements at the application, operating system and hardware levels. Exhaust heat energy is transferred directly to an adjacent greenhouse facility and cooling is provided by free cooling methods. We will describe the architecture and operation of this successful prototype that has led to its growing use in our production environments.
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
×
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:604180095
Book学术官方微信