OVERVIEW OF THE ADAPTIVE ALGORITHMS FOR DISTRIBUTING INTERNET OF THINGS DATA FLOWS IN CLOUD AND FOGGY MEDIA

The article provides an overview of modern methods and adaptive algorithms for distributing data flows from sensors in cloud and fog computing media. Given the dynamic and frequently changing characteristics of these media, it is important to ensure efficient and flexible data flow management to optimize resource usage and minimize delays. The key issues related to the processing and transmission of data from sensors, such as network load and availability of computing power, are considered. Special attention is paid to the adaptability of algorithms that can automatically adjust according to the changes of network parameters and computing resources. Both classical data distribution methods and the latest developments that take into account the features of cloud and fog computing are analyzed. The article shows the advantages and limitations of various approaches, as well as suggests directions for further research in the field of data distribution in these computing media.