Task assignment in a distributed system (extended abstract)

1998 ◽  
Vol 26 (1) ◽  
pp. 268-269 ◽  
Author(s):  
Mark E. Crovella ◽  
Mor Harchol-Balter ◽  
Cristina D. Murta
Keyword(s):  
Distributed System ◽  
Task Assignment

An Approach to Optimal Task Assignment in a Distributed System

2004 ◽  
Vol 36 (10) ◽  
pp. 51-55 ◽  
Author(s):  
Rasim Magamed ogly Alguliev ◽  
Ramiz Magamed ogly Aliguliev ◽  
Rashid Kurbanali ogly Alekperov
Keyword(s):  
Distributed System ◽  
Task Assignment

scholarly journals A fast algorithm for reliability-oriented task assignment in a distributed system

2002 ◽  
Vol 25 (17) ◽  
pp. 1622-1630 ◽  
Author(s):  
Chin-Ching Chiu ◽  
Yi-Shiung Yeh ◽  
Jue-Sam Chou
Keyword(s):  
Distributed System ◽  
Fast Algorithm ◽  
Task Assignment

scholarly journals Duplication with Task Assignment in Mesh Distributed System

2014 ◽  
Vol 10 (2) ◽  
pp. 193-214 ◽  
Author(s):  
Rashmi Sharma ◽  
Nitin Nitin
Keyword(s):  
Distributed System ◽  
Task Assignment

scholarly journals THE ASSIGNMENT OF TASKS TO THE NODES OF THE IOT DISTRIBUTED SYSTEM BASED ON REINFORCEMENT MACHINE LEARNING

2021 ◽  
Vol 63 (1) ◽  
pp. 27-33
Author(s):  
Maria V. Stepanova ◽  
◽  
Oleg I. Eremin ◽  
Keyword(s):  
Machine Learning ◽  
Reinforcement Learning ◽  
Internet Of Things ◽  
Distributed System ◽  
Task Assignment ◽  
Parallel Systems ◽  
Learning Method ◽  
Adaptive Approach ◽  
Iot Platform

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.

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