A cost-effective critical path approach for service priority selections in grid computing economy

A cost-effective critical path approach for service priority selections in grid computing economy

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Article ID: iaor2008736
Country: Netherlands
Volume: 42
Issue: 3
Start Page Number: 1628
End Page Number: 1640
Publication Date: Dec 2006
Journal: Decision Support Systems
Authors: ,
Keywords: computers: information, project management, artificial intelligence: decision support
Abstract:

The increasing demand for grid computing resources calls for an incentive-compatible pricing mechanism for differentiated service qualities. This paper examines the optimal service priority selection problem for a grid computing services user, who is submitting a multi-subtask job for the priced services in a grid computing network. We conceptualize the problem into a prioritized critical path method (CPM) network, identify it as a time–cost tradeoff problem, and differentiate it from the traditional problem by considering a delay cost associated to the total throughput time. We define the optimal solution for the prioritized CPM network as the globally, cost-effective critical path (GCCP), the optimal critical path for the solution that minimizes the total cost. As the exponential time complexity of GCCP makes the problem practically unsolvable, we propose a locally cost-effective critical path (LCCP) based approach to the prioritized C PM problem with a heuristic solution. The locally optimized priority constituting the configuration for LCCP can provide a lower bound for the throughput time of GCCP with the same time complexity as that for a traditional CPM problem. To further improve the quality of the solution, we conceive a priority adjustment algorithm named Non-critical Path Relaxation (NPR) algorithm, to refine the priority selections of the nodes on the non-critical paths. A discussion of the effects of the users' priority selections on the grid network pricing is provided to elicit future research on the computing resource pricing problem on the service-side.

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