Revolutionizing load harmony in edge computing networks with probabilistic cellular automata and Markov decision processes

Revolutionizing load harmony in edge computing networks with probabilistic cellular automata and Markov decision processes

Abstract In general, edge computing networks are based on a distributed computing environment and hence, present some difficulties to obtain an appropriate load balancing, especially under dynamic workload and limited resources. The conventional approaches of Load balancing like Round-Robin and Thre...

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Bibliographic Details
Main Authors: Dinesh Sahu, Nidhi, Rajnish Chaturvedi, Shiv Prakash, Tiansheng Yang, Rajkumar Singh Rathore, Lu Wang, Sabeen Tahir, Sheikh Tahir Bakhsh
Format: Article
Language:English
Published: Nature Portfolio 2025-01-01
Series:Scientific Reports
Subjects:
Edge computing
Resource scheduling
Load balancing
Probabilistic cellular automata
Markov decision processes
Load harmony
Online Access:https://doi.org/10.1038/s41598-025-88197-9
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https://doi.org/10.1038/s41598-025-88197-9

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