Journal article

A taxonomy of market-based resource management systems for utility-driven cluster computing

Chee Shin Yeo, Rajkumar Buyya



In utility-driven cluster computing, cluster Resource Management Systems (RMSs) need to know the specific needs of different users in order to allocate resources according to their needs. This in turn is vital to achieve service-oriented Grid computing that harnesses resources distributed worldwide based on users' objectives. Recently, numerous market-based RMSs have been proposed to make use of real-world market concepts and behavior to assign resources to users for various computing platforms. The aim of this paper is to develop a taxonomy that characterizes and classifies how market-based RMSs can support utility-driven cluster computing in practice. The taxonomy is then mapped to existin..

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