Dynamic Multi-stage Resource Selection with Preference Factors in Grid Economy

It is well known that grid technology has the ability to realize the resources shared and tasks scheduled coordinately. However, the problem of resource management and scheduling has always been one of main challenges. Recently, the theory of grid economy, which is analogous to the real market-based economy, can become a good candidate for solving the problem efficiently. But, in grid economy, the decision problem of resources selection with portfolio optimization has been paid little attention to. In this paper, the portfolio model and algorithm for dynamic multi-stage resource selection with preference factors were provided, analyzed and explained based on the grid economy in detail. The results of the experiments proved that corresponding methods were feasible and efficient in dynamic and distributed environments.

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