End-to-End Behavior Simulation for Multi-Access Edge Computing

Abstract

Multi-Access edge computing (MEC) is an emerging network architecture that enables cloud computing at the edge of the network characterized by ultra-low latency, high-bandwidth, and direct access to real-time network information. However, the network heterogeneity (4G, 5G, WiFi, etc.) and quality requirement diversity (Internet of Things, Artificial Intelligence, Augmented Reality, etc.) make the deployment of MEC ever more complicated and expensive. In this paper, we introduce a novel end-to-end simulation tool- Behavior Simulation from User Equipment to Edge and Cloud (BSUEEC)- which can offload computing, communication, and traffic simulation to different simulators for the deployment and resource planning of MEC, applicable to various real world scenarios. It s a co-simulation tool that can: 1) seamlessly integrate with heterogeneous access network simulators via a self-developed adapter, 2) extend the simulation from UE(user equipments)-to-edge to UE-to-multi-layer-MEC, even the Cloud 3) assign the UE with real traffic patterns, 4) consider the interaction among access network, MEC/Cloud processing, and road traffic in one simulation. The effectiveness and applicability of our simulation framework (“BSUEEC”) three Vehicle to Everything (V2X) scenarios.