Autonomic Computing, International Conference on (2005)
June 13, 2005 to June 16, 2005
DOI Bookmark: http://doi.ieeecomputersociety.org/10.1109/ICAC.2005.65
Gerald Tesauro , IBM TJ Watson Research Center
Rajarshi Das , IBM TJ Watson Research Center
William E. Walsh , IBM TJ Watson Research Center
Jeffrey O. Kephart , IBM TJ Watson Research Center
We study autonomic resource allocation among multiple applications based on optimizing the sum of utility for each application. We compare two methodologies for estimating the utility of resources: a queuing-theoretic performance model and model-free reinforcement learning. We evaluate them empirically in a distributed prototype data center and highlight tradeoffs between the two methods.
G. Tesauro, R. Das, W. E. Walsh and J. O. Kephart, "Utility-Function-Driven Resource Allocation in Autonomic Systems," Autonomic Computing, International Conference on(ICAC), Seattle, Washington, 2005, pp. 342-343.