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
Link To Document :
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