DocumentCode :
3238225
Title :
New job selection and location policies for load distributing algorithms
Author :
Al-Amri, M.S. ; Ahmed, Rana Ejaz
Author_Institution :
Dept. of Electr. Eng., King Saud Univ., Riyadh, Saudi Arabia
Volume :
2
fYear :
2001
fDate :
2001
Firstpage :
1139
Abstract :
Load distributing algorithms in distributed systems are used to share the resources by distributing the workload. These algorithms have four components: a transfer policy that determines whether a node is in a suitable state to participate in a task transfer; a selection policy that determines which task should be transferred; a location policy that determines to which node a task selected for transfer should be sent; and an information policy which is responsible for triggering the collection of system state information. This paper presents a new load distributing algorithm, SLCT, which uses new job selection and location policies. The selection policy selects the best task for transfer, as compared to only selecting newly-arrived tasks in most existing algorithms. The location policy also finds the best receiver. SLCT is shown to outperform the best-reported load distributing algorithm. The performance of SLCT is evaluated and compared with some existing algorithms
Keywords :
distributed algorithms; network servers; performance evaluation; SLCT; distributed computing system; distributed systems; information policy; job location policy; job selection policy; load distributing algorithm; load distributing algorithms; network node; network server; newly-arrived tasks; performance; receiver; resource sharing; system state information; task transfer; transfer policy; Distributed computing; Processor scheduling; Scheduling algorithm; System performance;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Electrical and Computer Engineering, 2001. Canadian Conference on
Conference_Location :
Toronto, Ont.
ISSN :
0840-7789
Print_ISBN :
0-7803-6715-4
Type :
conf
DOI :
10.1109/CCECE.2001.933602
Filename :
933602
Link To Document :
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