Research the Measurement Method of Software Aging in Cloud

Abstract:

Although SaaS is a new application model, the phenomenon of software aging still exists, which will cause service performance decline ceaselessly, even worse, service failure. In order to ensure SaaS performance, we need to estimate the degree of software aging accurately, so as to provide a basis to the resource allocation strategy. In this paper we describe the process of calculating software aging degree, and build a performance metrics system according to gray correlation degree analysis, then calculate SaaS software aging degree based on fuzzy evaluation. Finally, we verify the effectiveness of our measurement method of software aging in cloud by experiments.

• Periodical: Applied Mechanics and Materials (Volume 392)
• Pages: 779-782
• DOI: https://doi.org/10.4028/www.scientific.net/AMM.392.779
• Online since: September 2013
• Authors: Fang Liu, Jing Cao, Jun Guo, Bin Zhang
• Keywords: Fuzzy Evaluation, Gray Correlation Degree Analysis, Software Aging

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