A Framework for User Feedback Based Cloud Service Monitoring

作者: Zia ur Rehman , Omar K. Hussain , Sazia Parvin , Farookh K. Hussain

DOI: 10.1109/CISIS.2012.157

关键词:

摘要: The increasing popularity of the cloud computing paradigm and emerging concept federated have motivated research efforts towards intelligent service selection aimed at developing techniques for enabling users to gain maximum benefit from by selecting services which provide optimal performance lowest possible cost. Given intricate heterogeneous nature current clouds, process is, in effect, a multi criteria optimization or decision-making problem. this are related both functional nonfunctional attributes services. In context, two major issues are: (1) choice criteria-set (2) mechanisms assessment against each criterion thorough continuous monitoring. paper, we focus on issue monitoring wherein existing entirely dependent various benchmark tests which, however, unable accurately determine reliably predict actual applications under real workload. We discuss recent achieving objective propose novel user-feedback-based approach can monitor more as compared with mechanisms.

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