QoS-Aware GASA: A QoS-Aware Grid Resource Selection Optimization Algorithm

Author

Qi Ning ; Wang Binqiang ; Wei Shuai

Author_Institution

Nat. Digital Switching Syst. Eng. & Technol. Center, Zhengzhou, China

fYear

2009

fDate

11-13 Dec. 2009

Firstpage

1

Lastpage

4

Abstract

In order to provide high quality of service (QoS), reasonable scheduling and resource allocation are needed when a great deal of tasks request grid resources. By quantifying some important properties of Grid QoS and maximizing cost-performance of the system, a grid resource selection optimization algorithm is provided based on simulated annealing genetic algorithm (SAGA) : QoS-aware SAGA, and the flow of the algorithm is introduced. Finally, this algorithm is proved to be valid through a simulation experiment.

Keywords

genetic algorithms; grid computing; quality of service; resource allocation; scheduling; simulated annealing; QoS-aware grid resource selection optimization algorithm; genetic algorithm; quality of service; resource allocation; scheduling; simulated annealing; system cost-performance maximization; Costs; Delay effects; Dynamic scheduling; Genetic algorithms; Processor scheduling; Q measurement; Quality of service; Resource management; Scheduling algorithm; Simulated annealing;

fLanguage

English

Publisher

ieee

Conference_Titel

Computational Intelligence and Software Engineering, 2009. CiSE 2009. International Conference on

Conference_Location

Wuhan

Print_ISBN

978-1-4244-4507-3

Electronic_ISBN

978-1-4244-4507-3

Type

conf

DOI

10.1109/CISE.2009.5366411

Filename

5366411