äärearvutuste

Äärearvutused, often translated as "edge computing" in English, refers to a distributed computing paradigm that brings computation and data storage closer to the sources of data. This is done to improve response times and save bandwidth. Instead of sending all data to a centralized cloud or data center for processing, computations are performed at or near the physical location where the data is generated. This includes devices like IoT sensors, smartphones, industrial machines, and local servers.

The core principle of edge computing is to decentralize processing power. By performing analysis and decision-making locally, latency is significantly reduced. This is crucial for applications that require real-time responses, such as autonomous vehicles, industrial automation, augmented reality, and remote patient monitoring. The reduced need to transmit large volumes of raw data over networks also leads to considerable bandwidth savings, which can be particularly beneficial in areas with limited or expensive connectivity.

Edge computing can be implemented in various ways, ranging from processing directly on end-user devices to utilizing intermediary nodes like edge servers or gateways located within a local network or facility. This architecture allows for more efficient data management, as only relevant or processed data needs to be sent to the cloud for further analysis or long-term storage. Security and privacy can also be enhanced, as sensitive data can be processed and anonymized locally before transmission. The rise of the Internet of Things (IoT) has been a major driver for the adoption of edge computing, as the sheer volume of data generated by connected devices necessitates a more distributed approach to processing.