SDN-Based Resource Allocation in Edge and Cloud Computing Systems: An Evolutionary Stackelberg Differential Game Approach

Recently, the boosting growth of computation-heavy applications raises great challenges for Fifth Generation (5G) and future wireless networks. As responding, hybrid edge cloud computing (ECC) system has been expected as a promising solution to handle increasing computational with low-latency on-demand services computation offloading, which requires new resource sharing access control technology paradigms. This work establishes software-defined networking (SDN) based architecture edge/cloud in 5G heterogeneous networks (HetNets), can support efficient management optimize utilization satisfy time-varying tasks uploaded by user devices. In addition, resulting from information incompleteness, we design an evolutionary game service selection users, model replicator dynamics subscription. Based on this dynamic model, Stackelberg differential mechanism is proposed facilitate trading between provider (CCP) different providers (ECPs). Then derive optimal pricing allocation strategies users’ selection. These promise maximum integral utilities all (CPs), meanwhile distribution reach stable state at equilibrium. Furthermore, simulation results validate performance designed mechanism, reveal convergence equilibrium states selection, allocation.