DocumentCode :
1721396
Title :
Low cost load balancing algorithms
Author :
Zhu, Weiping ; Goscinski, A.
Author_Institution :
Sch. of Comput. & Inf. Sci., Univ. South Australia, Adelaide, SA, Australia
fYear :
1994
Firstpage :
226
Lastpage :
235
Abstract :
Two load-balancing algorithms that significantly reduce network traffic and the latency of the design-making process are presented in this paper. These algorithms take user behavior into account. Based on the intermittent behavior of a user using his/her computer, these algorithms adopt different measures to accelerate decision process and to reduce unnecessary communication. The measures used in these algorithms are beneficial to all type machines, especially to those machines that have bursty usage feature. The simulation shows that even without the intermittent feature on the job stream of each participant machine, these algorithms achieve better performance than other algorithms and have less overhead
Keywords :
distributed processing; operating systems (computers); resource allocation; virtual machines; bursty usage feature; design-making process; distributed system; job stream; less overhead; low cost load balancing algorithms; network traffic; performance; simulation; user behavior; Australia Council; Costs; Decision making; Delay; Distributed algorithms; Load management; System performance; Workstations;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Simulation Symposium, 1994., 27th Annual
Conference_Location :
La Jolla, CA
Print_ISBN :
0-8186-5620-4
Type :
conf
DOI :
10.1109/SIMSYM.1994.283093
Filename :
283093
Link To Document :
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