Edge Computing

Edge computing is a distributed computing model in which data processing and storage are performed closer to the edge of the network, i.e., closer to where the data is generated or consumed, rather than in centralized data centers.

In traditional computing models, data is collected from various devices or sensors and sent to a centralized location, where it is processed and stored.

Edge computing allows for processing and analysis of data to occur at or near the source of the data, often on local servers or gateways, which can reduce latency, improve data security, and lower bandwidth usage. Edge computing enables real-time analysis of data, as well as the ability to respond quickly to events and situations.

Edge computing can be useful in a variety of applications, such as smart homes, autonomous vehicles, and industrial automation. It can also be used in healthcare, where patient data can be collected and processed in real-time at the point of care, without needing to be sent to a central location. Overall, edge computing is a powerful computing paradigm that enables faster and more efficient processing and analysis of data.