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In this paper a new mathematical model is proposed for task scheduling andresource allocation in Grid systems. In this novel model, load balancing,starvation prevention and failing strategies are stated as the constraints andthe solution is restricted with a predefined quality of service for users withdifferent priorities. These strategies are defined by resource providers basedon the amount of submitted jobs to Grid. To solve the proposed model, a modernapproximate Auction-based algorithm is developed and it is implemented as aprototype of Grid simulator namely Multi-S-Grid. The results are illustrated on18 different large-scale Grid systems with different random capabilities anddifferent users. The outcomes reveal the reasonable performance of the proposedAuction-based algorithm to solve Grid system optimization models.

Auction-based approximate algorithm for Grid system scheduling under resource provider strategies