A Dynamic Game Model for Resource Allocation in Fog Computing for Ubiquitous Smart Grid

As a new paradigm providing economic and low latency network, Fog computing can provide storage and computational capabilities to the electrical users. Since the Ubiquitous Smart Grid environment is complex and dynamic, it is an important problem for electrical provider to allocate the non-infinite electrical computing resources of nodes to reach an optimal and state performance. To maximum the benefits and resource utilization while satisfying users requests, it is essential for service provider to allocate resources adaptively for different conditions. In this paper, we propose a dynamic resource optimization allocation framework for the problem of Fog resource allocation for Ubiquitous Smart Grid. A dynamic differential game model is modeled and analyzed to solve the independent optimization. The experiments results support a theoretical foundation that can help service provider make the optimal dynamic strategies when users change their strategies.