DocumentCode :
3039996
Title :
A Hybrid Policy for Job Scheduling and Load Balancing in Heterogeneous Computational Grids
Author :
Lu, Kai ; Zomaya, Albert Y.
Author_Institution :
Univ. of Sydney, Sydney
fYear :
2007
fDate :
5-8 July 2007
Firstpage :
19
Lastpage :
19
Abstract :
In this paper, we present a load balancing scheme that grid sites are clustered into regional grids around a set of well-known broker sites in terms of network transfer delay and the broker sites are organized in a fully decentralized fashion. Based on above scheme, we propose a hybrid policy to the job scheduling and load balancing in a computational grid which integrates static and dynamic approaches to make load distribution and redistribution driven by performance benefit jobs can gain. The hybrid policy also achieves a balance between the inherent efficiency of centralized approach, and the autonomy, load balancing and fault tolerant features offered by distributed approach. It is naturally suitable for large-scale grids. The main goal of our scheme is to improve the average response times of jobs. Our load balancing scheme is evaluated by simulations. We present some results that verify the effectiveness of our scheme.
Keywords :
grid computing; resource allocation; scheduling; average response time; fault tolerant features; heterogeneous computational grid; hybrid policy; job scheduling; large-scale grids; load balancing; network transfer delay; Computer networks; Delay; Distributed computing; Dynamic scheduling; Fault tolerance; Grid computing; Large-scale systems; Load management; Performance gain; Processor scheduling;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Parallel and Distributed Computing, 2007. ISPDC '07. Sixth International Symposium on
Conference_Location :
Hagenberg
Print_ISBN :
0-7695-2917
Type :
conf
DOI :
10.1109/ISPDC.2007.4
Filename :
4271909
Link To Document :
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