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
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