Microdata

Edge Computing: Processing at the Edge of the Network Edge computing brings data processing closer to where data is created and used. Instead of sending every sensor reading to a central cloud, devices and local nodes can do part of the work at the edge. This reduces round trips, cuts latency, and makes real-time decisions possible. Latency matters in control systems, healthcare devices, and autonomous machines. When data is processed nearby, a command can be issued in milliseconds, not seconds. Bandwidth costs drop too, because only relevant results or alerts travel upward. ...

Edge Computing: Processing at the Periphery Edge computing moves data processing closer to the devices that generate it. Rather than sending every bit of data to a distant data center, small servers, gateways, or even strong routers handle tasks locally. This proximity helps systems react faster and reduces the load on central clouds. Benefits are clear and practical. Lower latency enables real-time decisions in factories, cars, or smart buildings. Bandwidth use drops when only essential data is sent upward, and users gain more consistent performance even with spotty connections. Privacy can improve when sensitive data stays near its source. ...