Distributed Fog-to-Cloud computing system: A minority game approach

摘要

With the ever-increasing popularity of resource-intensive mobile applications, today,Fog-to-Cloud (F2C) computing system becomes a prominent technology for the next generationwireless networks. Despite the benefits of fog computing regarding localized storageand processing, it suffers from restricted power allowance and computational capability of theedge nodes. User nodes also may suffer from extensive delay, especially in offloading periods.Therefore, it is essential to develop a distributed mechanism for users' computation in offloadingperiods. According to this mechanism, not only the computational servers are exploitedat their best capacity but also the users' latency constraints fulfilled. Consequently, this paperdevelops automated distributed fog computing for computational offloading using the theoryof minority game. The proposed scheme achieves user satisfaction latency deadline as well asQuality-of-Experience. Moreover, it guarantees an adaptive equilibrium level of F2C computingsystem, which is suitable for heterogeneous wireless networks.