Analysis of CMOS IC-based Hybrid Architecture for Edge Computing

Abstract

With the rapid advancement of Internet of Things (IoT), mobile internet, and big data technologies, edge computing has emerged as a novel computing paradigm. In the hybrid architecture of edge computing,Complementary Metal-Oxide-Semiconductor (CMOS) integrated circuits play a pivotal role in empowering edge devices and servers with essential computing, storage, and communication capabilities. Despite their critical importance, CMOS integrated circuits in edge computing environments confront significant challenges in low-power electronics. These challenges include an increase in power density and a decrease in system stability and reliability. This paper delves into the key technologies of the hybrid architecture in edge computing and sheds light on the vital role of CMOS integrated circuits in edge devices. It introduces a novel approach for low-power electronics, which encompasses methods like optimization of double threshold voltage and refinement of algorithmic processes. These methods aim to tackle the power-efficiency issues while maintaining the performance of edge computing systems.Furthermore, the paper presents a detailed analysis of the proposed low-power techniques, focusing on how they can effectively reduce power consumption without compromising the functionality and efficiency of the edge computing systems. It concludes with a comprehensive discussion on the optimization results, highlighting the benefits and potential implications of implementing these low-power strategies in edge computing environments. This discussion not only underscores the importance of energy efficiency in edge computing but also opens new avenues for future research and development in this rapidly evolving field.