Edge Computing
Edge computing refers to a distributed computing paradigm that brings computation and data storage closer to the physical location where it is needed, improving response times and saving bandwidth.
Edge computing processes data near the source of data generation rather than relying on a centralised data-processing warehouse. This approach enables faster processing and real-time responses by reducing the physical distance data needs to travel, making it particularly valuable for time-sensitive applications.
Edge computing represents a shift from the traditional centralised cloud computing model. By processing data closer to where it’s created, edge computing not only reduces latency but also helps organisations better manage the growing volume of data from IoT devices, whilst addressing privacy concerns by keeping sensitive data local.
Examples
- Smart traffic lights that process data locally
- Industrial machines with built-in analytics
- Autonomous vehicles processing sensor data
- Smart home devices
- Security cameras with on-device processing