Geopositioning of fog nodes based on user device location and framework for game theoretic applications in an fog to cloud network

Abstract

Abstract Fog computing is a relatively new paradigm which uses distributed fog nodes to overcome the limitations and drawbacks of the centralized cloud computing paradigm. In this chapter, the authors propose a method to compute the positions for installation of fog nodes in a two-fog layer fog to cloud (F2C) architecture based on user device density in a particular area. The motivation for making the position of fog nodes a function of end user device density comes from the fact that localization of a distributed fog network improves the network’s overall effectiveness and by reducing the geographical displacement between end users and the fog servers, the latency can be reduced, resulting in better performance. In the second part of the chapter, the application and working of the created F2C network is proposed using game theoretic approaches. Two main applications of the network are discussed: fog nodes acting as computational resources for user requests and data transfer between two devices using the proposed F2C network architecture. The applications are used in conjunction with the Function as a Service (FaaS) and Utility computing model, where the users of the network are charged according to their resource usage and not for idle computation time.