Types of edge computing

Edge computing’s most significant benefit is its ability to increase network performance by reducing latency . Since IoT edge computing devices process data locally or in nearby edge data centers, the information they collect doesn’t have to travel nearly as far as it would under a traditional cloud architecture.

Edge computing is a distributed computing framework that brings enterprise applications closer to data sources such as IoT devices or local edge servers . This proximity to data at its source can deliver strong business benefits, including faster insights, improved response times and better bandwidth availability.

Edge data centers are small data centers that are located close to the edge of a network . They provide the same devices found in traditional data centers, but are contained in a smaller footprint, closer to end users and devices.

Edge analytics tend to be most useful in industrial environments that use many IoT sensors. In such environments, edge analytics can deliver benefits such as: Improved up time . If an edge analytics platform can monitor a sensor array, it might be able to take corrective action when problems occur.