DocumentCode
1869984
Title
A hybrid strategy for load balancing in distributed systems environments
Author
Esquivel, S.C.
Author_Institution
Grupo de Interes en Sistemas de Comput., Univ. Nacional de San Luis
fYear
1997
fDate
13-16 Apr 1997
Firstpage
127
Lastpage
132
Abstract
Load balancing algorithms attempt to improve systems performance through process migration. The article presents a hybrid strategy for load balancing in distributed systems, which exploits the benefits of evolutionary and predictive approaches. In order to decrease the communication traffic typically generated by load balancing schemes, we sought for a reduction in the number of requests done by an overloaded node. The predictive strategy applied to achieve this goal uses the knowledge attained by each node, through its previous experience
Keywords
computer networks; genetic algorithms; processor scheduling; resource allocation; telecommunication traffic; communication traffic; distributed systems environments; hybrid strategy; load balancing; overloaded node; predictive approaches; predictive strategy; previous experience; process migration; systems performance; Councils; Delay; Distributed computing; Genetic algorithms; Hardware; LAN interconnection; Load management; Local area networks; Signal processing;
fLanguage
English
Publisher
ieee
Conference_Titel
Evolutionary Computation, 1997., IEEE International Conference on
Conference_Location
Indianapolis, IN
Print_ISBN
0-7803-3949-5
Type
conf
DOI
10.1109/ICEC.1997.592282
Filename
592282
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