Research on Load Balancing in Cloud Computing Based on Marketing Theory

Though a cloud environment can create the appearance of an endless supply of computing resources, the computing resources are still limited from perspective of cloud management. As the key supporting technologies of future internet, load balancing algorithms and job allocations are main research problems in areas of resource management of cloud computing. Most traditional works resolve the load balancing problem in grid, cluster and distributed environment with objective function that is to minimize the system response time. In this paper, we discuss load balancing from perspective of users, formulate this problem based on marketing theory, and propose a load balancing algorithm based on marketing theory and game theory. Comparing with other algorithms, the algorithm presented in this paper is feasible to this problem and sees both the fairness index of users and that of processors.