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An Automatic Approach to On-Demand Resource Management

LIU Zhao,HUANG Gang,ZHANG Ying,MEI Hong School of Electronics Engineering and Computer Science,Peking University,Beijing 100871  
Managing resources on-demand is appealed in order to ensure that provided resources not only are enough to meet non-function requirements of services but also contain no redundancy against resource wasting.On-demand resource management can be archived through the collaboration of resource provision and consumption by allocating resource to the optimized system which consumes resource as few as possible.The authors present an automatic approach to on-demand resource management.Resource management tasks including resource allocating and reclaiming are implemented with autonomous control rings driven by two algorithms respectively for resource consumption optimization and dynamic resource provision.
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