DTC: A Dynamic Trusted Collaboration Architecture for Mobile Edge Computing

Abstract

Under mobile edge computing (MEC), collaborative computing is a new paradigm to optimize edge network load and server resource allocation. However, there are still issues such as resource imbalance and unreliable identity when collaborative nodes provide computing and caching services for computing devices. Therefore, an efficient and reliable MEC network should be established to manage these challenges. In this paper, a dynamic trusted collaboration scheme is proposed. Specifically, the transaction supervision of nodes in the MEC scenario is first realized through blockchain-based mobile edge computing (BMEC) technology. In BMEC, a management scheme is established laying the foundation for building a trusted MEC environment. Second, a collaborative model is designed. On this basis, it is formulated as an optimization problem based on computing, communication, caching, and energy consumption. The formulation problem is verified to be NP complete. Thus, an improved heuristic algorithm is adopted in this study to solve this problem. Ultimately, the experimental results demonstrate that DTC not only has good performance but also can effectively enhance the reliability of the MEC network compared with other cooperative schemes.