Open AccessTHE ASSIGNMENT OF TASKS TO THE NODES OF THE IOT DISTRIBUTED SYSTEM BASED ON REINFORCEMENT MACHINE LEARNING
Author(s) -
Maria Stepanova,
Oleg Eremin
Publication year - 2021
Publication title -
avtomatizaciâ processov upravleniâ
Language(s) - English
Resource type - Journals
ISSN - 1991-2927
DOI - 10.35752/1991-2927-2021-1-63-27-33
Subject(s) - computer science , reinforcement learning , distributed computing , internet of things , task (project management) , artificial intelligence , embedded system , engineering , systems engineering
The article describes issues of applying an adaptive approach based on reinforcement learning for assignment of the computing tasks to nodes of distributed Internet of Things (IoT) platform. The IoT platform consists of heterogeneous elements that are computing nodes. Classical approaches, methods, and algorithms for distributed and parallel systems are not suitable for task assignment in IoT systems due to its characteristics. The reinforcement learning method allows you to solve the problem of building a distributed system due to the adaptive formation of a sequence of computational nodes and the corresponding computational tasks. Thus, the article represents a method that makes IoT nodes capable of execution computing tasks, especially, which were previously designed for classical distributed and parallel systems.