PDL ABSTRACT

Tashi: Location-aware Cluster Management

First Workshop on Automated Control for Datacenters and Clouds (ACDC'09), Barcelona, Spain, June 2009.

Michael A. Kozuch*, Michael P. Ryan*, Richard Gass*, Steven W. Schlosser*, David O’Hallaron*, James Cipar, Elie Krevat, Julio López, Michael Stroucken, Gregory R. Ganger

*Intel Research Pittsburgh
4720 Forbes Avenue
Pittsburgh, PA 15213

Parallel Data Laboratory
Carnegie Mellon University
Pittsburgh, PA 15213
griffin2@ece.cmu.edu

http://www.pdl.cmu.edu/

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.

FULL PAPER: pdf

 

 

 

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