Cooperative Game Approach for Energy-Aware Load Balancing in Clouds

In cloud environments, failure to fully consider the tradeoff between the energy saving and performance would lead to a sub-optimal scenario. In this paper we model the load balancing problem as a cooperative game among the multiserver systems and present the structure of the Nash bargaining solution (NBS). The objective of the proposed algorithm is to minimize the energy consumption of cloud data centers while promising an acceptable average response time for their customers, in which the computing resources are provided in a greedy manner, and then the users' tasks are allocated along with the concept of the Nash bargain solution. We compared the performance of the proposed approach with the existing approaches. Simulated results demonstrate that the proposed technique has immense potential to balance the tradeoff between the energy saving and performance for the cloud data centers.