Dynamic Protocol Parsing System with Optimized Edge Containers

Multi-access Edge Computing (MEC) is an emerging architecture that extends cloud computing services to the edge of the network using mobile base stations. In a typical MEC paradigm edge nodes directly access heterogeneous nodes (e.g., sensors, devices, machines). However, limited to massive communication protocols of heterogeneous nodes, as well as the poor mobility, difficulty in lightweight, and low access efficiency brought by the current protocol parsing system based on the universal parser, create new challenges in the Internet of Things. We propose a dynamic protocol parsing system with optimized edge containers, called DPPS. It is suitable for MEC, allows edge nodes to dynamically access heterogeneous nodes, and supports cloud protocol parsing image management and edge node fault repair. Besides, we design a built-in container optimization algorithm based on the mutation cuckoo algorithm, which overcomes the memory resource shortage and energy consumption problems in DPPS. This algorithm demonstrates superior performance compared to other algorithms for embedded container optimization.