Edge computing is a distributed computing technology that involves performing data processing and storage closer to the data sources or users instead of concentrating all processing in a centralised server or cloud infrastructure. This technology aims to reduce latency, improve performance and increase the efficiency of network communications by processing data closer to where it is generated and used. Here are some key points about edge computing:

• Distributed computing: In edge computing platforms, small computing power units, called 'edge nodes,' are located near users or Internet of Things (IoT) devices. These nodes perform data processing locally instead of sending all data to a central server.
• Reduces latency: Processing data close to the source reduces latency, which is particularly important for real-time applications such as autonomous vehicles, remote-controlled robots and telemedicine.
• Reduces data traffic: Edge computing reduces the amount of data that needs to be sent over the network to central servers or clouds, saving bandwidth and reducing costs.
• Improves data protection and privacy: As some data is processed locally, sensitive information can be kept on the device and does not need to be sent over the network. This can improve data protection and privacy.
• Areas of use: Edge computing is used in many different industries, including industrial automation, smart cities, healthcare, retail and more. It enables these industries to benefit from real-time analysis and monitoring.
• Technologies: Edge computing can be powered by a variety of technologies, including minicomputers, IoT devices, 5G networks and specialised hardware and software.

Edge computing complements cloud-based solutions by enabling faster and more efficient data processing close to the users or devices. It plays an important role in enabling the emergence of IoT and other real-time applications that require low latency and high reliability.