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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...
The introduction of economics in resource scheduling is an effective solution in grid. In this paper,based on the banking model as an agent, it provides the analysis and guidance for all participants from the perspective of the overall activities in the grid. The Deadline and Budget Constrained (DBC)-based iterative algorithm can update the prices through analyzing the history of the used resource...
Grid applications must provide exceptional quality of service but because of the complexity and diversity of grid environment, the quality of service (QoS) can not be guaranteed. In order to solve the problem of quality of service in grid, QoS mechanisms must be introduced, that is, the QoS parameters of the problem description. At present, there are a lot of QoS researches, but very little research...
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