EXPLORING THE POTENTIAL OF EDGE COMPUTING FOR LOW-LATENCY AND HIGHTHROUGHPUT APPLICATIONS

Edge computing is quickly becoming seen as a potentially useful technology due to its capacity to support low-latency and high-throughput application development across a variety of industries. In view of the growing demand for real-time data processing and analysis, edge computing has the potential to significantly expand the capabilities of already existing systems. In this study, we conduct a survey of the research that has been done on low-latency and high-throughput applications of edge computing. We examine its history, its current technique, the challenges that it faces, and the advancements that have been made up to the present. In addition, we highlight some of the most recent advances in edge computing that are anticipated to further increase its capabilities. These innovations include edge artificial intelligence, 5G networks, containerization, and communication between the edge and the cloud. However, there are still a number of challenges that need to be conquered before progress can be made. Concerns of security, privacy, standardization, and scalability are included in this category. In order to fully exploit the potential of edge computing, more research and development work needs to be done in areas such as edge artificial intelligence, new edge computing architectures, standards and protocols, and new edge computing applications in emerging fields such as the Internet of Things (IoT)