Maximizing revenue in Grid markets using an economically enhanced resource manager

Authors:
M. Macías;O. Rana;G. Smith;J. Guitart;J. Torres
Affiliations:
Barcelona Supercomputing Center, Jordi Girona 29, Barcelona, Spain;Cardiff University, Wales, U.K.;University of Reading, Barcelona, Spain;Barcelona Supercomputing Center, Jordi Girona 29, Barcelona, Spain and Technical University of Catalonia, Barcelona, Spain;Barcelona Supercomputing Center, Jordi Girona 29, Barcelona, Spain and Technical University of Catalonia, Barcelona, Spain
Venue:
Concurrency and Computation: Practice & Experience - Economic Models and Algorithms for Grid Systems
Year:
2010

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Abstract

Traditional resource management has had as its main objective the optimization of throughput, based on parameters such as CPU, memory, and network bandwidth. With the appearance of Grid markets, new variables that determine economic expenditure, benefit and opportunity must be taken into account. The Self-organizing ICT Resource Management (SORMA) project aims at allowing resource owners and consumers to exploit market mechanisms to sell and buy resources across the Grid. SORMA's motivation is to achieve efficient resource utilization by maximizing revenue for resource providers and minimizing the cost of resource consumption within a market environment. An overriding factor in Grid markets is the need to ensure that the desired quality of service levels meet the expectations of market participants. This paper explains the proposed use of an economically enhanced resource manager (EERM) for resource provisioning based on economic models. In particular, this paper describes techniques used by the EERM to support revenue maximization across multiple service level agreements and provides an application scenario to demonstrate its usefulness and effectiveness. Copyright © 2008 John Wiley & Sons, Ltd.