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An Automatic Parameter Optimization Method on Performance Test of Storage Systems

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4 Author(s)
Tingtao Zhao ; Networked Storage Lab., Commun. Univ. of China, Beijing, China ; Ligu Zhu ; Liang Zheng ; Quanwei Qiu

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.

Published in:

Computational Sciences and Optimization (CSO), 2011 Fourth International Joint Conference on

Date of Conference:

15-19 April 2011