Title :
Grid Workflow Scheduling with Various QoS Constraints Using SPEA2+
Author :
Xiang, Wang ; Jie-wu, Xia ; Jin-zhong, Li ; Jin-tao, Zeng ; Song-song, Peng
Author_Institution :
Inst. of Technol., Jinggangshan Univ., Ji´´an, China
Abstract :
In order to solve the multi-objective optimal grid workflow scheduling problems with various QoS constraints, SPEA2+ is employed to optimize the scheduling performance. The paper proposes a multi-objective optimal grid workflow scheduling algorithm with QoS constraints, namely GWSA. The proposed algorithm, based on the rich-construct AGWL grid workflow model, considers five-dimensional QoS parameters, and sets the five-dimensional QoS parameters to five objective functions as well as the corresponding constraints for multi-objective optimization, and eventually generates a set of Pareto optimal solutions which satisify all the five constraints through simultaneously optimizing those QoS parameters. Compared with the grid workflow scheduling algorithm GWSB based on SPEA2, the experimental results indicate that mean values of each dimensional QoS parameter of the set of Pareto optimal solutions which are obtained by GWSA are slightly superior than those of GWSB by a typical grid workflow instance.
Keywords :
Pareto optimisation; quality of service; scheduling; AGWL grid workflow model; Pareto optimal solution; QoS constraint; SPEA2+; multiobjective optimal grid workflow scheduling algorithm; multiobjective optimization; Fluctuations; Optimal scheduling; Quality of service; Scheduling; Scheduling algorithm; Grid Workflow; QoS; SPEA2+; Scheduling;
Conference_Titel :
Genetic and Evolutionary Computing (ICGEC), 2010 Fourth International Conference on
Conference_Location :
Shenzhen
Print_ISBN :
978-1-4244-8891-9
Electronic_ISBN :
978-0-7695-4281-2
DOI :
10.1109/ICGEC.2010.210