Trust management for service migration in Multi-access Edge Computing environments

Abstract

Multi-access Edge Computing relies on the concept of moving part of the cloud resources closer to the users to address limitations of the traditional cloud in order to reduce communication latency and increase security. This makes Multi-access Edge Computing (MEC) suitable for time-critical applications such as autonomous vehicles where they can support connectivity with a safe and more efficient experience. Nevertheless, MECs are generally deployed on constrained devices with limited resources, which may affect the infrastructure reliability and thus its trustworthiness.In this paper, we focus on a trust mechanism based on the interactions between MECs to increase reliability in the context of a service migration scenario, where MEC nodes can decide based on a trust score to which node to migrate their services and user information. Our proposed algorithm leverages ideas of the EigenTrust and RLIoT reputation system and combined with a novel correlation concept and a dynamic distance algorithm. From our simulations, our model shows better results in different scenarios and communication ranges. This work provides the core component of a complete trust management system for MECs and could be applied in various use cases.