Paper Info
Title
Distributed Resource Allocation Strategies for Achieving Quality of Service in Server Clusters
Abstract
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. …
Year
DOI
Venue
2006
10.1109/CDC.2006.377147
San Diego, CA
Keywords
DocType
ISSN
distributed processing,quality of service,resource allocation,control engineering
Conference
0743-1546
ISBN
Citations 
PageRank 
1-4244-0171-2
5
0.50
References 
Authors
3
4
Name
Order
Citations
PageRank
Bjorn Johansson11729.11
Constantin Adam2705.91
mikael johansson31612147.94
Rolf Stadler470670.88