DocumentCode :
528447
Title :
Load-balancing strategies in distributed workflow management system
Author :
Zhang, Ming ; Wei, Zu-kuan
Author_Institution :
Coll. of Comput. Sci. & Eng., Univ. of Electron. Sci. & Technol. of China, Chengdu, China
Volume :
1
fYear :
2010
fDate :
June 29 2010-July 1 2010
Firstpage :
235
Lastpage :
238
Abstract :
The grid technology has been used to solve complicated scientific problems for a long time. Since the heterogeneity of gird, we need an effective method to dispatch the tasks to computational units with different process abilities. In this paper, we first propose a new measurement standard for workload, and then three load-balancing strategies, namely RANDOM, shortest processing time first (SPTF) and longest processing time first (LPTF), are compared in order to find out a relatively optional one. The LPTF rule shows better performance when the number of workflow instances increases beyond a specific threshold value.
Keywords :
grid computing; resource allocation; RANDOM; distributed workflow management system; grid technology; load balancing strategy; longest processing time first; shortest processing time first; Computer architecture; Engines; Fires; Radio access networks; Distributed computing; Load balancing; Scheduling strategy; Workflow;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Communication Systems, Networks and Applications (ICCSNA), 2010 Second International Conference on
Conference_Location :
Hong Kong
Print_ISBN :
978-1-4244-7475-2
Type :
conf
DOI :
10.1109/ICCSNA.2010.5588701
Filename :
5588701
Link To Document :
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