Abstract: Workload balancing in the cloud computing environment has an important impact on the performance. Good workload balancing makes cloud computing more efficient and improves user satisfaction. This paper introduces a better workload balance model for the public cloud based on the cloud partitioning concept with a switch mechanism to choose different strategies for different situations. When the nodes are at idle status dynamic round robin algorithm is used.when the nodes are in normal status the algorithm which applies the game theory to the workload balancing strategy is used to improve the efficiency in the public cloud environment. A game theoretic frame work for obtaining a user optimal workload balancing scheme as been presented for non-cooperative game the structure of Nash equilibrium is used to select appropriate nodes to balance the workload The goal of cloud based architecture is to provide elasticity and ability to expand capacity on-demand. The workload balancing feature efficiently reduces the waiting time at each process steps.