Utility-Function-Driven Resource Allocation in Autonomic Systems

I
ICAC
2005
Second International Conference on Autonomic Computing (ICAC'05)
Abstract - Utility-Function-Driven Resource Allocation in Autonomic Systems

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Second International Conference on Autonomic Computing (ICAC'05)

Utility-Function-Driven Resource Allocation in Autonomic Systems (PDF)

Seattle, Washington

June 13-June 16

ISBN: 0-7965-2276-9

	ASCII Text	x
	Gerald Tesauro, Rajarshi Das, William E. Walsh, Jeffrey O. Kephart, "Utility-Function-Driven Resource Allocation in Autonomic Systems," Autonomic Computing, International Conference on, pp. 342-343, Second International Conference on Autonomic Computing (ICAC'05), 2005.

	BibTex	x
	@article{ 10.1109/ICAC.2005.65, author = {Gerald Tesauro and Rajarshi Das and William E. Walsh and Jeffrey O. Kephart}, title = {Utility-Function-Driven Resource Allocation in Autonomic Systems}, journal ={Autonomic Computing, International Conference on}, volume = {0}, year = {2005}, isbn = {0-7965-2276-9}, pages = {342-343}, doi = {http://doi.ieeecomputersociety.org/10.1109/ICAC.2005.65}, publisher = {IEEE Computer Society}, address = {Los Alamitos, CA, USA}, }

	RefWorks Procite/RefMan/Endnote	x
	TY - CONF JO - Autonomic Computing, International Conference on TI - Utility-Function-Driven Resource Allocation in Autonomic Systems SN - 0-7965-2276-9 SP342 EP343 A1 - Gerald Tesauro, A1 - Rajarshi Das, A1 - William E. Walsh, A1 - Jeffrey O. Kephart, PY - 2005 KW - null VL - 0 JA - Autonomic Computing, International Conference on ER -

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

DOI Bookmark: http://doi.ieeecomputersociety.org/10.1109/ICAC.2005.65

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.

Citation:

Gerald Tesauro, Rajarshi Das, William E. Walsh, Jeffrey O. Kephart, "Utility-Function-Driven Resource Allocation in Autonomic Systems," icac, pp.342-343, Second International Conference on Autonomic Computing (ICAC'05), 2005

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