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J4  2010, Vol. 44 Issue (2): 213-219    DOI: 10.3785/j.issn.1008-973X.2010.02.001
Proactive self-adaptation of software based on inspecting uncertainty
WANG Hua1,2, YING Jing1, JIANG Tao1
(1.College of Computer Science and Technology, Zhejiang University, Hangzhou 310027, China;
2. Institute of Management Science and Information Engineering, Hangzhou Dianzi University, Hangzhou 310018, China)
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A method of proactive self-adaptation (PSA) was proposed to address the unanticipated adaptation of the traditional reactive self-adaptation (RSA) model. The PSAmethod presented an important problem to be resolved how the model learns from the environment. Hidden Markov model (HMM) was employed to learn from history behavior of targetsystem, and then generated anticipatory actions. The PSA method can proactively adjust the runtime behaviors of the system to be adaptive to the new situations  compared to thetraditional RSA model. The application system made sound decision by combining the observation from system administrators and the cognitive power of PSA. Then applicationsimplemented the proactive autonomic management and reduced manual operation. Experimental results show that the PSA method provides for application with proactive self-adaptivemanagement mechanism and improves the manageability and quality of service (QoS) of application.

Published: 09 March 2010
CLC:  TP 311.5  
Cite this article:

WANG Hua, YING Jing, JIANG Chao. Proactive self-adaptation of software based on inspecting uncertainty. J4, 2010, 44(2): 213-219.

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