Machine learning-driven task scheduling with dynamic K-means based clustering algorithm using fuzzy logic in FOG environment

Machine learning-driven task scheduling with dynamic K-means based clustering algorithm using fuzzy logic in FOG environment

Fog Computing has emerged as a pivotal technology for enabling low-latency, context-aware, and efficient computing at the edge of the network. Effective task scheduling plays a vital role in optimizing the performance of fog computing systems. Traditional task scheduling algorithms, primarily design...

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Bibliographic Details
Main Authors: Muhammad Saad Sheikh, Rabia Noor Enam, Rehan Inam Qureshi
Format: Article
Language:English
Published: Frontiers Media S.A. 2023-12-01
Series:Frontiers in Computer Science
Subjects:
machine learning
fog computing (FC)
Internet of Things (IoT)
symbiotic organism search algorithm (SOS)
task scheduling
K-mean clustering algorithm
Online Access:https://www.frontiersin.org/articles/10.3389/fcomp.2023.1293209/full

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