Performance Evaluation of Applications Assisted with Two-tier MEC Architecture Using High Performance Drives

Driven by the unprecedented growth of data, recent years have seen a paradigm shift in mobile computing, from cloud computing towards edge computing. The main feature of edge computing is to push cloud computing, network control and storage to the network edges to place computation-intensive and latency-critical applications closer to the resource-limited mobile devices. Edge computing promises a dramatic reduction in latency and an improvement in bandwidth, tackling the key challenges for the materializing 5G vision. The promised gains of edge computing have placed more demands for computing and storing ability, motivating this work to study the edge computing platform design. This paper provides a comprehensive study with a focus on the storage performance effect on the edge and presents real-time test results of video streaming on an edge server with a study of the storage performance. Relationship of quality of service of video streaming, number of mobile devices, task size, memory, and storage performance are also systematically studied.