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
Link To Document :
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