An efficient population-based multi-objective task scheduling approach in fog computing systems

An efficient population-based multi-objective task scheduling approach in fog computing systems

Abstract With the rapid development of Internet of Things (IoT) technologies, fog computing has emerged as an extension to the cloud computing that relies on fog nodes with distributed resources at the edge of network. Fog nodes offer computing and storage resources opportunities to resource-less Io...

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Bibliographic Details
Main Authors: Zahra Movahedi, Bruno Defude, Amir mohammad Hosseininia
Format: Article
Language:English
Published: SpringerOpen 2021-10-01
Series:Journal of Cloud Computing: Advances, Systems and Applications
Subjects:
Fog computing
Task scheduling
Internet of things
Meta-heuristic
Whale optimization algorithm
Opposition-based learning
Online Access:https://doi.org/10.1186/s13677-021-00264-4

Internet

https://doi.org/10.1186/s13677-021-00264-4

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