Contract-based resource reservation for energy harvesting-enabled mobile edge computing

To address bottleneck of energy performance, this paper considers an energy harvesting (EH)-enabled mobile edge computing (MEC) system with contract users (CUs), random users (RUs) and an agent node (AN). AN can manage resource interactions between MEC server and users. The resource demands of CUs are known in advance, while RUs are mobile and arrive randomly. We propose a resource reservation framework based on contract theory with the goal of maximizing the utility of AN under information asymmetry and demand uncertainty. First, for symmetric information scenario, CUs are willing to share information with MEC server to obtain the relationship between the optimal resource reservation and the demands of CUs. Then, for asymmetric information scenario, a contract-based resource reservation scheme is proposed to motivate wireless access point to share the demand information of CUs and undertake partial over-reservation risk cost. Based on this, the theoretical expression for the optimal reserved resource is obtained by exploring the features of the feasible contracts under individual rationality and incentive compatibility constraints. We leverage simulation to validate the proposed contract-based resource reservation scheme and verify its effectiveness through simulation results.