Task scheduling in edge-fog-cloud architecture: a multi-objective load balancing approach using reinforcement learning algorithm

The rapid development of internet of things (IoT) gadgets and the increase in the rate of sending requests from these devices to cloud data centers resulted in congestion and consequently service provisioning delays in the cloud data centers. Accordingly, fog computing emerged as a new computing mod...

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Bibliographic Details
Published in:	Computing Vol. 105; no. 6; pp. 1337 - 1359
Main Authors:	Ramezani Shahidani, Fatemeh, Ghasemi, Arezoo, Toroghi Haghighat, Abolfazl, Keshavarzi, Amin
Format:	Journal Article
Language:	English
Published:	Vienna Springer Vienna 01.06.2023 Springer Nature B.V
Subjects:	Algorithms Artificial Intelligence Cloud computing Computer Appl. in Administrative Data Processing Computer architecture Computer centers Computer Communication Networks Computer Science Data centers Edge computing Electronic devices Energy consumption Fogging Information Systems Applications (incl.Internet) Internet of Things Machine learning Provisioning Regular Paper Response time (computers) Scheduling Software Engineering Task scheduling Fog computing Cloud computing Scheduling Load balancing Reinforcement learning Edge computing
ISSN:	0010-485X, 1436-5057
Online Access:	Get full text
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