Imprecise Computation Grid Application Model for Flexible Market-Based Resource Allocation

Authors:
Kyong Hoon Kim;Rajkumar Buyya;Jong Kim
Affiliations:
University of Melbourne, Australia;University of Melbourne, Australia;University of Melbourne, Australia
Venue:
CCGRID '06 Proceedings of the Sixth IEEE International Symposium on Cluster Computing and the Grid
Year:
2006

Citing 0
Cited 2

Modeling and analysis of the effects of QoS and reliability on pricing, profitability, and risk management in multiperiod grid-computing networks

Decision Support Systems
Reward-based allocation of cluster and grid resources for imprecise computation model-based applications

International Journal of Web and Grid Services

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Abstract

Market-based resource management is becoming an emerging issue as the utilization of Grid computing is growing rapidly, particularly in the business field. In this paper, we provide a new Imprecise Computation Grid application model for flexible market-based resource management. Each job in a Grid application has two parts: mandatory part for the minimum quality and optional part for additional computations. This application model can be applied to QoS-related Grid applications and used in adaptive resource management. We also provide scheduling algorithms for resource allocation of IC Grid applications. Simulation results show that better utility is achieved when users specify both mandatory and optional requirements.