A Novel Extended Temperature Edge Server System Architecture and Design for ITS RSCU

Along with quickly emerging applications, including 5G, IOT (Internet of Things), Auto Piloting, etc., in industry, demands for local large-scale data analysis and AI (Artificial Intelligence) processing on edge is growing rapidly. As a result, hardware power consumption for edge computing is increasing fast. At the same time, high-power edge computing products are supposed to fit into non-data center scenarios such as 5G edge network, Roads Side Control Unit (RSCU), smart factory, etc. This paper introduces a typical edge server, investigates the environmental requirements for non-data center scenarios and studies on technical feasibility of further extending working temperature, dustproof, waterproof, anti-condensation, etc., and proposed a completed, environmental reliable solution for edge hardware products. The proposed Cloud Edge Server also extends AI server products and environmental adaptability on edge. The same PCB (Printed Circuit Board) can support flexible AI hardware accelerators and storage configurations for diverse applications. And, it can fit into different outdoor and indoor scenarios with only changing chassis design which helps dramatically reducing total deployment cost and achieve better ROI (Return on Investment).

1 INTRODUCTION

With the rapid growth of Big-Data, especially with the support of 5G, new businesses and workloads are coming up, including RSCU, VR (Virtual Reality), AR (Augmented Reality), etc. Many emerging workloads are demanding low-latency, high-bandwidth and multi-connection, which are challenging for existing "Device-Cloud" computing and network structure [1].