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Peer-driven task scheduling and resource allocation for enhanced performance in industrial IoT systems

Abstract Peer-to-Peer (P2P) systems in the smart industry, enhanced by the Industrial Internet of Things (IIoT), provide a robust framework for efficiently managing and processing distributed tasks. However, resource sharing and allocation in these systems, often conducted one-to-one, can lead to ta...

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Hlavní autoři: Ayman Alfahid, Chahira Lhioui, Somia Asklany, Rim Hamdaoui, Monia Hamdi, Ghulam Abbas, Amr Yousef, Anis Sahbani
Médium: Artigo
Jazyk:Inglês
Vydáno: Nature Portfolio 2025-04-01
Edice:Scientific Reports
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On-line přístup:https://doi.org/10.1038/s41598-025-98910-3
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