DocumentCode
1912434
Title
Load balancing in distributed systems: an approach using cooperative games
Author
Grosu, D. ; Chronopoulos, A.T. ; Ming-Ying Leung
Author_Institution
Dept. of Comput. Sci., Texas Univ., San Antonio, TX, USA
fYear
2001
fDate
15-19 April 2001
Abstract
In this paper we formulate the static load balancing problem in single class job distributed systems as a cooperative game among computers. It is shown that the Nash Bargaining Solution (NBS) provides a Pareto optimal allocation which is also fair to all jobs. We propose a cooperative load balancing game and present the structure of the NBS For this game an algorithm for computing NBS is derived. We show that the fairness index is, always 1 using NBS which means that the allocation is fair to all jobs. Finally, the performance of our cooperative load balancing scheme is compared with that of other existing schemes.
Keywords
cooperative systems; distributed processing; game theory; resource allocation; Nash bargaining solution; Pareto optimal allocation; cooperative games; cooperative load balancing game; distributed systems; fairness index; single class job distributed systems; static load balancing; Computer science; Concurrent computing; Costs; Delay; Distributed computing; Game theory; Load management; Mathematics; NIST; Statistical distributions;
fLanguage
English
Publisher
ieee
Conference_Titel
Parallel and Distributed Processing Symposium., Proceedings International, IPDPS 2002, Abstracts and CD-ROM
Conference_Location
Ft. Lauderdale, FL
Print_ISBN
0-7695-1573-8
Type
conf
DOI
10.1109/IPDPS.2002.1015536
Filename
1015536
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