An Automatic Parameter Optimization Method on Performance Test of Storage Systems

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 auto...

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Bibliographic Details
Main Authors: TingTao Zhao, LiGu Zhu, Liang Zheng, QuanWei Qiu
Format: Conference Proceeding
Language:English
Subjects:
Aggregates
Bandwidth
Benchmark testing
Manuals
Optimization
Particle swarm optimization
performance test
storage bandwidth
test
test automation
Online Access:Request full text
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Summary: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.
DOI:10.1109/CSO.2011.69