APPLYING EDGE COMPUTING IN THE EXECUTION IoT OPERATIVE TRANSACTIONS

• Published in: Сучасні інформаційні системи Vol. 8; no. 4; pp. 49 - 59
• Main Authors: Kuchuk, Nina, Kashkevich, Svitlana, Radchenko, Viacheslav, Andrusenko, Yuliia, Kuchuk, Heorhii
• Format: Journal Article
• Language: English
• Published: 05-11-2024
• ISSN: 2522-9052
• DOI: 10.20998/2522-9052.2024.4.07

Topicality. IoT information processing is usually performed in a cloud environment. However, this creates problems associated with delays in data transfer to the cloud. It is especially important to reduce these delays when processing operational IoT transactions. This can be achieved by transferring part of the calculations to IoT peripheral devices. However, it is necessary to take into account the specific features of embedded IoT systems. The subject of study in the article is methods for transferring the load to IoT peripheral devices. The purpose of the article is to reduce the execution time of operational IoT transactions by increasing the efficiency of the system infrastructure by transferring part of the computing load to IoT peripheral devices. The following results were obtained. A conclusion has been made about the possibility of constructing a distributed information system based on Internet of Things devices. A model of a computing node has been formed, which made it possible to specify a separate computing node, taking into account its location and functioning features. A method for distributing tasks among the nodes of a distributed information system has been developed. The method allows taking into account the features of each computing node and the state of communication channels between them. The developed algorithm for implementing the method is based on the analysis of a stationary or non-stationary environment and changing the greedy strategy of the agent. Conclusion. Studies of the effectiveness of the proposed method have been conducted. The simulation results have shown that the proposed method can significantly reduce the processing time of operational transactions.