workload management

Optimizing utility in cloud computing through autonomic workload execution

Authors: 
Paton, Norman W.; Aragao, Marcelo A. T. de; Lee, Kevin; Fernandes, Alvaro A. A.; a, Rizos Sakellariou

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

Year: 
2009
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