Abstract
The resources in the Grid are heterogeneous and geographically distributed. Availability, usage and cost policies vary depending on the particular user, time, priorities and goals. Quality of service (QoS) in grid cannot be guaranteed. This article proposes a computational economy as an effective metaphor for the management of resources and application scheduling. It proposes a QoS-based grid banking model. The model is divided into the application- layer, virtual organization (VO) layer, and the physical resources and facilities layer. At each layer, the consumer agent, service agent, and resource provider agent optimize the multi-dimensionality QoS resources respectively. The optimization is under the framework of the grid banking model and the hierarchical constraints in their respective conditions so that it can maximize the function. The optimization algorithm is price-oriented constant iteration at all levels.
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© 2009 Springer-Verlag Berlin Heidelberg
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Li, H., Tang, G., Guo, W., Sun, C., Yao, S. (2009). Price-Oriented Trading Optimization for Grid Resource. In: Jaatun, M.G., Zhao, G., Rong, C. (eds) Cloud Computing. CloudCom 2009. Lecture Notes in Computer Science, vol 5931. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-10665-1_67
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DOI: https://doi.org/10.1007/978-3-642-10665-1_67
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