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Tech Glossary

Edge Network

An edge network refers to a network architecture in which data processing, computation, and storage are shifted closer to the source of the data—at the "edge" of the network, typically near or on the devices generating the data. This is in contrast to traditional centralized cloud computing, where data is sent to a distant data center for processing.

The main advantage of edge networks is reduced latency, as data is processed locally rather than being sent to a centralized location for analysis. This is particularly useful in scenarios where real-time decision-making is crucial, such as in autonomous vehicles, IoT devices, smart cities, and industrial automation. By processing data at the edge, organizations can reduce the time it takes to analyze and act on data, improve application performance, and reduce the bandwidth required to send large volumes of data to a central server.

Edge networks work hand-in-hand with cloud computing, as not all data needs to be processed at the edge. For example, less time-sensitive data can still be sent to a centralized cloud for further analysis, storage, or deeper processing, while mission-critical data is handled locally.

Edge computing and edge networks are gaining traction due to the growing number of connected devices, such as smartphones, sensors, and IoT devices. These devices generate vast amounts of data, and sending all of it to the cloud can result in high latency and increased costs. Edge networks provide a solution by offloading some of the data processing to the edge, closer to the data source.

In summary, an edge network improves performance and reduces latency by processing data closer to where it is generated. This architecture is particularly beneficial for applications that require real-time processing and decision-making, enabling faster responses, reduced bandwidth usage, and improved scalability.

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