Edge computing is a distributed computing model that processes data closer to the source, rather than sending it to a centralized data center.
By reducing the distance that data needs to travel, edge computing can reduce latency and improve performance in applications that require real-time processing, such as IoT devices and self-driving cars.
Edge computing can also reduce network congestion and improve bandwidth utilization by processing data locally instead of sending it over a network.
Edge computing can be used to preprocess data and filter out unnecessary information, reducing the amount of data that needs to be sent to a central server.
Edge computing can improve security by keeping sensitive data closer to the source and reducing the risk of data breaches during transmission.
Edge computing can be used in combination with cloud computing to create a hybrid computing model that takes advantage of the strengths of both approaches.
Edge computing requires specialized hardware and software, including edge servers, gateways, and edge analytics tools.
Edge computing is being used in various industries, such as healthcare, manufacturing, and transportation, to improve efficiency, reduce costs, and improve safety.
Edge computing is also being used in smart cities to improve traffic management, optimize energy usage, and monitor environmental conditions.