Using Hybrid Gaming Model for Resource Co-allocation in Grid Environments

Recently, user-oriented QoS requirements have attracted more and more attentions, and the resource cost has become the key QoS attribute in many practical grid systems. However, how to decide the resource prices when co-allocating plenty of heterogeneous resources across different virtual organizations remains a challenging issue. In this work, we design and implement a novel co-allocation framework, in which the resource co-allocation procedure is divided into two phases. In the first phase, resource providers uses co-operative gaming model to decide their resource's original price, which can lead to maximal benefits for resource providers; In the second phase, non-cooperative gaming model is applied to find out the retail price (trading price) when users buy resources for executing their applications. Extensive simulations are conducted to evaluate the effectiveness and performance of the proposed framework, and the results show that the two-phase model can significantly improve the QoS satisfaction for those grid applications with constraint to limited budgets. Also, the efficiency of co-allocating multiple resources is also significantly improved comparing with existing policies.