Cost Minimization in Serverless Computing with Energy Harvesting SECs

Abstract

With an increasing number of Mobile Users (MUs), Multi-access edge computing (MEC) has become a bottleneck in resource limitation. Serverless edge computing (SEC) is a promising approach to effectively alleviate the shortage of MEC. However, existing research on SEC focus on the operating mode of the SEC server, they ignore the interaction between SEC and MU. To this end, we propose a Stackelberg game approach to maximize the utility of each MU. We present the model of the Stackelberg game and propose an iterative algorithm as the solution. We also consider the impact of the function resource pool and using renewable energy on SEC. In particular, when a function that required by a MU is not stored in this SEC, it downloads the function from could with extra cost. Meanwhile, the SEC has a lower cost by using harvested energy rather than purchasing from the grid. Simulation results show that the proposed scheme is efficient in terms of SEC’s profit and MU’s demand. Moreover, both MUs and SECs gain benefits from renewable energy.