Game Theoretic Pricing Policies and Job Allocation Strategies on Mobile Grid

The goal of this project is to develop a solid mathematical foundation for the development of integrated Mobile Grid Computing by proposing a fair pricing strategy and an optimal, static job allocation scheme. Mobile devices have not yet been integrated into Grid computing platforms mainly due to their inherent limitations in processing and storage capacity, power and bandwidth shortages. Here, we propose a game theoretic pricing model, to address load balancing issues in mobile grids. In particular, by drawing upon the Nash Bargaining Solution (NBS), we show that we can obtain a unified framework for addressing such issues as network efficiency, fairness, utility maximization, and pricing.