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.