Analyzing The Effect of Edge Computing on Real-Time Data Processing and Latency Reduction

The concept of edge computing is a fresh approach that has garnered notable attention in recent times, primarily driven by the use of the Internet of Thingsand the requirement for instantaneous data processing and examination. Edge computing technology offers various benefits, including diminished latency, enhanced efficiency, and heightened dependability. Nonetheless, it also introduces a range of obstacles, such as the safeguarding of security and the management of dispersed computational assets. Edge computing minimizes latency and cuts down on bandwidth expenditures in the realm of Health Information Technology by relocating a portion of the data processing and analytical tasks from the central server or cloud to the periphery of the network, precisely where data originates or is utilized. This approach ensures that only indispensable or pertinent data is dispatched to the cloud or server, while the remaining data is either managed locally or disregarded. As a result, the volume of data requiring transmission is reduced, leading to bandwidth preservation and heightened swiftness. Furthermore, edge computing facilitates real-time or nearly real-time data processing and analysis, contributing to latency reduction and overall improved responsiveness. Edge gateways function as intermediaries connecting edge devices and cloud servers, aiding in data routing and supplying supplementary processing capabilities whenever required. Cloud servers furnish extra computational potency and storage aptitude, affording enterprises the ability to handle and scrutinize substantial data quantities instantaneously. Edge computing architecture latency reduction accuracy. The main contribution of the study is to analyze the effects of edge computing on latency reduction and real-time data processing.