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5 Jan 2023 · Edge computing allow data from Internet of things device to be analysed edge of network before being send to a data center or cloud. Advantages : It offer 2 min read
Edge computing is a distributed computing framework that brings enterprise applications closer to data sources such as IoT devices or local edge servers. This proximity to data at its source can deliver strong business benefits, including faster insights, improved response times and better bandwidth availability.
Learn about edge computing, how it works and the importance of its role in the growth of 5G. Discover why edge computing matters, including benefits and use cases.
Edge computing is a distributed computing model that brings computation and data storage closer to the sources of data. More broadly, it refers to any design that pushes computation physically closer to a user, so as to reduce the latency compared to when an application runs on a centralized data centre. [1]
Edge computing is the process of bringing information storage and computing abilities closer to the devices that produce that information and the users who consume it. Traditionally, applications have transmitted data from smart devices like sensors and smartphones to a central data center for processing.
Edge computing allows devices in remote locations to process data at the "edge" of the network, either by the device or a local server. And when data needs to be processed in the central datacenter, only the most important data is transmitted, thereby minimizing latency.
Edge computing refers to processing, analyzing, and storing data closer to where it is generated to enable rapid, near real-time analysis and response. In recent years, some companies have consolidated operations by centralizing data storage and computing in the cloud.
Edge computing optimizes Internet devices and web applications by bringing computing closer to the source of the data. This minimizes the need for long distance communications between client and server, which reduces latency and bandwidth usage.
In this paper, we introduce the definition of edge computing, followed by several case studies, ranging from cloud offloading to smart home and city, as well as collaborative edge to materialize the concept of edge computing.
Edge computing has emerged as a paradigm to address these challenges in the era of ubiquitous computing and the IoT. This paper presents a complete review of edge computing, covering its applications, opportunities, and current research trends.
