Title
Tashi: Location-Aware Cluster Management
Date of Original Version
6-19-2009
Type
Conference Proceeding
Abstract or Table of Contents
Big Data applications, those that require large data corpora either for correctness or for delity, 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.
Recommended Citation
Cipar, James; Krevat, Elie; Lopez, Julio; Stroucken, Michael; Ganger, Gregory R.; Kozuch, Michael A.; Ryan, Michael P.; Glass, Richard; Schlosser, Steven W.; and O’Hallaron, David, "Tashi: Location-Aware Cluster Management" (2009). Parallel Data Laboratory. Paper 8.
http://repository.cmu.edu/pdl/8

Comments
Presented at the Workshop on Automated Control for Datacenters and Clouds (ACDC'09), Barcelona, Spain