Tashi: location-aware cluster management

M. Kozuch, Michael P. Ryan, Richard Gass, S. Schlosser, D. O'Hallaron, James Cipar, E. Krevat, J. C. López-Hernández, Michael Stroucken, G. Ganger
{"title":"Tashi: location-aware cluster management","authors":"M. Kozuch, Michael P. Ryan, Richard Gass, S. Schlosser, D. O'Hallaron, James Cipar, E. Krevat, J. C. López-Hernández, Michael Stroucken, G. Ganger","doi":"10.1145/1555271.1555282","DOIUrl":null,"url":null,"abstract":"Big Data applications, those that require large data corpora either for correctness or for fidelity, are becoming increasingly prevalent. Tashi is a cluster management system designed particularly for enabling cloud computing applications to operate on repositories of Big Data. These applications are extremely scalable but also have very high resource demands. A key technique for making such applications perform well is Location-Awareness. This paper demonstrates that location-aware applications can outperform those that are not location aware by factors of 3-11 and describes two general services developed for Tashi to provide location-awareness independently of the storage system.","PeriodicalId":340736,"journal":{"name":"Workshop on Automated Control for Datacenters and Clouds","volume":"36 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2009-06-19","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"70","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Workshop on Automated Control for Datacenters and Clouds","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1145/1555271.1555282","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 70

Abstract

Big Data applications, those that require large data corpora either for correctness or for fidelity, are becoming increasingly prevalent. Tashi is a cluster management system designed particularly for enabling cloud computing applications to operate on repositories of Big Data. These applications are extremely scalable but also have very high resource demands. A key technique for making such applications perform well is Location-Awareness. This paper demonstrates that location-aware applications can outperform those that are not location aware by factors of 3-11 and describes two general services developed for Tashi to provide location-awareness independently of the storage system.
Tashi:位置感知集群管理
大数据应用,那些需要大数据语料库来保证准确性或保真度的应用,正变得越来越普遍。Tashi是一个集群管理系统,专门为云计算应用程序在大数据存储库上运行而设计。这些应用程序具有极高的可扩展性,但也有非常高的资源需求。使这类应用程序运行良好的关键技术是位置感知。本文论证了位置感知应用程序的性能比那些没有位置感知的应用程序高出3-11倍,并描述了为Tashi开发的两种独立于存储系统提供位置感知的通用服务。
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