John R. Douceur, Jeremy Elson, Jon Howell, and Jacob R. Lorch
22 June 2010
UCop, the "utility coprocessor,” is middleware that makes it cheap and easy to achieve dramatic speedups of parallelizable, CPU-bound desktop applications using utility computing clusters in the cloud. To make UCop performant, we introduced techniques to overcome the low available bandwidth and high latency typical of the networks that separate users' desktops from a utility computing service. To make UCop economical and easy to use, we devised a scheme that hides the heterogeneity of client configurations, allowing a single cluster to serve virtually everyone: in our Linux-based prototype, the only requirement is that users and the cluster are using the same major kernel version.
This paper presents the design, implementation and evaluation of UCop, employing 32-64 nodes in Amazon EC2, a popular utility computing service. It achieves 6-11x speedups on CPU-bound desktop applications ranging from video editing and photorealistic rendering to strategy games, with only minor modifications to the original applications. These speedups improve performance from the coffee-break timescale of minutes to the 15-20 second timescale of interactive performance.
|Published in||Proceedings of the 2010 USENIX Annual Technical Conference|
|Publisher||Association for Computing Machinery, Inc.|
Copyright © 2007 by the Association for Computing Machinery, Inc. Permission to make digital or hard copies of part or all of this work for personal or classroom use is granted without fee provided that copies are not made or distributed for profit or commercial advantage and that copies bear this notice and the full citation on the first page. Copyrights for components of this work owned by others than ACM must be honored. Abstracting with credit is permitted. To copy otherwise, to republish, to post on servers, or to redistribute to lists, requires prior specific permission and/or a fee. Request permissions from Publications Dept, ACM Inc., fax +1 (212) 869-0481, or email@example.com. The definitive version of this paper can be found at ACM’s Digital Library --http://www.acm.org/dl/.