DocumentCode :
2495168
Title :
Optimization of Workflow Pre-Scheduling Based on Nested Genetic Algorithm
Author :
Xiao, Zhijiao ; Ming, Zhong ; Yin, Jianfei
Author_Institution :
Sch. of Comput. Sci. & Software Eng., Shenzhen Univ., Shenzhen, China
Volume :
1
fYear :
2010
fDate :
24-25 April 2010
Firstpage :
294
Lastpage :
297
Abstract :
Pre-scheduling of workflows is to schedule all tasks of a workflow instance as soon as it is initialized. Based on the study of existing scheduling methods, a new optimization method of workflow pre-scheduling is proposed based on Nested Genetic Algorithm(NGA). The solutions of resource allocation and execution sequence are optimized and global optimization for a single process instance can be approached using the proposed method. Experiments are done to show the feasibility and superiority of the proposed method.
Keywords :
genetic algorithms; resource allocation; scheduling; NGA; global optimization; nested genetic algorithm; resource allocation solution; workflow prescheduling optimisation; Computer science; Engines; Genetic algorithms; Heart; Information technology; Optimization methods; Processor scheduling; Resource management; Scheduling algorithm; Software engineering;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Multimedia and Information Technology (MMIT), 2010 Second International Conference on
Conference_Location :
Kaifeng
Print_ISBN :
978-0-7695-4008-5
Electronic_ISBN :
978-1-4244-6602-3
Type :
conf
DOI :
10.1109/MMIT.2010.134
Filename :
5474280
Link To Document :
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