Pilvefogetöötlust

Pilvefogetöötlust refers to the process of fog processing in the cloud. This concept combines edge computing principles with cloud-based infrastructure to achieve efficient data analysis and processing. In essence, it involves performing initial data filtering and analysis at the network's edge, closer to the data source, before sending the processed or aggregated data to the cloud for further, more intensive computation or long-term storage.

The primary advantage of pilvefogetöötlust lies in its ability to reduce latency and bandwidth consumption. By handling a portion of the processing at the edge, less data needs to be transmitted over the network to the central cloud. This is particularly beneficial for applications requiring real-time responses, such as autonomous vehicles, industrial automation, and the Internet of Things (IoT). Edge devices, often referred to as "fog nodes," can include routers, gateways, or specialized servers.

These fog nodes are equipped with computational resources that allow them to perform tasks like data pre-processing, anomaly detection, and immediate decision-making. The data that is deemed necessary or valuable is then sent to the cloud for more comprehensive analysis, machine learning model training, or archival. This tiered approach to processing optimizes resource utilization, enhancing both speed and cost-effectiveness. The integration of fog and cloud computing creates a more robust and scalable architecture for handling the ever-increasing volume of data generated by connected devices.