DocumentCode :
2346487
Title :
An Automatic Parameter Optimization Method on Performance Test of Storage Systems
Author :
Zhao, Tingtao ; Zhu, Ligu ; Zheng, Liang ; Qiu, Quanwei
Author_Institution :
Networked Storage Lab., Commun. Univ. of China, Beijing, China
fYear :
2011
fDate :
15-19 April 2011
Firstpage :
792
Lastpage :
794
Abstract :
In order to acquire the peak performance of one storage system quickly and accurately, an automatic parameter optimization method is used in performance test. By introducing artificial intelligence into storage test, the algorithms such as particle swarm optimization help to optimize parameters automatically on performance test. Experimental results show that this method can significantly improve efficiency and accuracy of performance test, so saving cost. The method based on intelligent optimization algorithms can acquire the optimal performance value of storage systems more quickly, especially in the case of there are too many parameters in performance test.
Keywords :
digital storage; particle swarm optimisation; performance evaluation; storage management; artificial intelligence; automatic parameter optimization; optimal performance value; particle swarm optimization; performance test; storage systems; Aggregates; Bandwidth; Benchmark testing; Manuals; Optimization; Particle swarm optimization; performance test; storage bandwidth; test; test automation;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Computational Sciences and Optimization (CSO), 2011 Fourth International Joint Conference on
Conference_Location :
Yunnan
Print_ISBN :
978-1-4244-9712-6
Electronic_ISBN :
978-0-7695-4335-2
Type :
conf
DOI :
10.1109/CSO.2011.69
Filename :
5957776
Link To Document :
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