Incentive Based Scheduling for Market .Net Project

ABSTRACT

            In the case of computational grids the consumers and providers share their resources and schedule the decision. And both the parties must have sufficient incentive to play and stay in the market. In this paper we optimize the incentive for both consumers and provides to achieve dual objective. It is to increase the success rate of job execution and to minimize the fairness deviation among resources and in this paper we propose to achieve both this target simultaneously. We present an incentive-based scheduling scheme, which utilizes a peer-to-peer decentralized scheduling framework, a set of local heuristic algorithms, and three market instruments of job announcement, price, and competition degree. This scheme is evaluated by simulation using synthetic and real work groups.  The results show that our approach outperforms other scheduling schemes in optimizing incentives for both consumers and providers, leading to highly successful job execution and fair profit allocation.

Incentive -