What is Edge Computing?

In proximity with the original source, client data is processed at the network's edge in edge computing, a distributed IT architecture.

To put it simply, edge computing shifts a fragment of compute and storage resources closer to the data source and away from the central data center. That work is done where the data is generated, rather than sending raw data to a central data center for processing and examination. This enables ultra-low latency data transfers, facilitating high compute and networking tasks at remote locations, or anywhere without a glitch.  

Appropriate designs are necessary for computing jobs, and an architecture that works well for one kind of computing task may not work well for another. To enable distributed computing to deploy computation and storage resources closer to the data source, edge computing has become a significant and feasible architecture.

Edge computing is important as it provides a solution to new network issues caused by massive amounts of data, generated and consumed by modern organizations. Additionally, it is suitable for applications with time-sensitive processing and responses.  

Use Cases of Edge Computing  

Monitoring of Security Systems

Smart IoT Devices

Video Conferencing

Self-driving Automobiles

Medical Devices for Monitoring

Caching Efficiency