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Recently, the boosting growth of computation-heavy applications raises greatchallenges for the Fifth Generation (5G) and future wireless networks. Asresponding, the hybrid edge and cloud computing (ECC) system has been expectedas a promising solution to handle the increasing computational applicationswith low-latency and on-demand services of computation offloading, whichrequires new computing resource sharing and access control technologyparadigms. This work establishes a software-defined networking (SDN) basedarchitecture for edge/cloud computing services in 5G heterogeneous networks(HetNets), which can support efficient and on-demand computing resourcemanagement to optimize resource utilization and satisfy the time-varyingcomputational tasks uploaded by user devices. In addition, resulting from theinformation incompleteness, we design an evolutionary game based serviceselection for users, which can model the replicator dynamics of servicesubscription. Based on this dynamic access model, a Stackelberg differentialgame based cloud computing resource sharing mechanism is proposed to facilitatethe resource trading between the cloud computing service provider (CCP) anddifferent edge computing service providers (ECPs). Then we derive the optimalpricing and allocation strategies of cloud computing resource based on thereplicator dynamics of users' service selection. These strategies can promisethe maximum integral utilities to all computing service providers (CPs),meanwhile the user distribution can reach the evolutionary stable state at thisStackelberg equilibrium. Furthermore, simulation results validate theperformance of the designed resource sharing mechanism, and reveal theconvergence and equilibrium states of user selection, and computing resourcepricing and allocation.

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