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Distributed resource allocation strategies for achieving quality of service in server clusters
KTH, School of Electrical Engineering (EES), Automatic Control.
KTH, School of Electrical Engineering (EES), Communication Networks.
KTH, School of Electrical Engineering (EES), Automatic Control.
KTH, School of Electrical Engineering (EES), Communication Networks.
2006 (English)In: PROCEEDINGS OF THE 45TH IEEE CONFERENCE ON DECISION AND CONTROL, 2006, 1990-1995 p.Conference paper, Published paper (Refereed)
Abstract [en]

We investigate the resource allocation problem for large-scale server clusters with quality-of-service objectives, where key functions are decentralized. Specifically, the optimal service selection is posed as a discrete utility maximization problem that reflects management objectives and resource constraints. We develop an efficient centralized algorithm that solves this problem, and we propose three suboptimal schemes that operate with local information. The performance of the suboptimal schemes is evaluated in simulations, both under idealized conditions and in a full-scale system simulator.

Place, publisher, year, edition, pages
2006. 1990-1995 p.
Series
IEEE Conference on Decision and Control, ISSN 0191-2216
National Category
Control Engineering
Identifiers
URN: urn:nbn:se:kth:diva-26549ISI: 000252251604035Scopus ID: 2-s2.0-39649120764OAI: oai:DiVA.org:kth-26549DiVA: diva2:385442
Conference
45th IEEE Conference on Decision and Control San Diego, CA, DEC 13-15, 2006
Note
QC 20110111Available from: 2011-01-11 Created: 2010-11-25 Last updated: 2011-01-11Bibliographically approved

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