文章基本信息

标题：Optimizing Utility in Cloud Computing through Autonomic Workload Execution
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作者：Norman W. Paton ; Marcelo A. T. de Arag鉶 ; Kevin Lee 等
期刊名称：Bulletin of the Technical Committee on Data Engineering
出版年度：2009
卷号：32
期号：01
出版社：IEEE Computer Society
摘要：Cloud computing provides services to potentially numerous remote users with diverse requirements. Al- though predictable performance can be obtained through the provision of carefully delimited services, it is straightforward to identify applications in which a cloud might usefully host services that support the composition of more primitive analysis services or the evaluation of complex data analysis requests. In such settings, a service provider must manage complex and unpredictable workloads. This paper describes how utility functions can be used to make explicit the desirability of different workload evalu- ation strategies, and how optimization can be used to select between such alternatives. The approach is illustrated for workloads consisting of workﬂows or queries.