Abstract
Grid computing has recently become an important paradigm for managing computationally demanding applications, composed of a collection of services. The dynamic discovery of services, and the selection of a particular service instance providing the best value out of the discovered alternatives, poses a complex multi-attribute n:m allocation decision problem. Decentralized approaches to this service allocation problem represent a flexible alternative to central resource brokers, thus promising improvements in the efficiency of the resulting negotiations and service allocations. This paper analyses the impact of the service density on the profit and market price estimation using a decentralized service allocation mechanism in a grid market scenario.
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Eymann, T., Streitberger, W., Hudert, S. (2007). CATNETS – Open Market Approaches for Self-organizing Grid Resource Allocation. In: Veit, D.J., Altmann, J. (eds) Grid Economics and Business Models. GECON 2007. Lecture Notes in Computer Science, vol 4685. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-540-74430-6_15
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DOI: https://doi.org/10.1007/978-3-540-74430-6_15
Publisher Name: Springer, Berlin, Heidelberg
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