Scalable Edge-Enabled Distributed Control Framework for Real-Time and Fault-Tolerant Industrial Process Automation

S. Kannadhasan, R. Sathish, Shimona E., P. John Britto, Jaicristy D. Mosha M., Tandra Nagarjuna

2025

Abstract

The integration of edge computing into distributed control systems is revolutionizing real-time automation across critical industrial sectors. This research proposes a scalable and fault-tolerant edge-enabled framework designed to meet the stringent latency, reliability, and safety requirements of industrial process automation. Unlike prior studies that either lack real-world implementation or focus solely on hardware or cloud dependencies, the proposed architecture unifies edge intelligence, secure communication protocols, and cross-platform orchestration to achieve deterministic control responses. Comprehensive benchmarking across multiple industrial environments demonstrates significant improvements in response time, system uptime, and failure recovery. By incorporating vendor-neutral standards and explainable AI for predictive control, the framework ensures adaptability, transparency, and operational resilience. This work addresses the practical and technical gaps in existing literature and delivers a deployable solution optimized for next-generation Industry 5.0 applications.

Paper Citation

in Harvard Style

Kannadhasan S., Sathish R., E. S., Britto P., M. J. and Nagarjuna T. (2025). Scalable Edge-Enabled Distributed Control Framework for Real-Time and Fault-Tolerant Industrial Process Automation. In Proceedings of the 1st International Conference on Research and Development in Information, Communication, and Computing Technologies - Volume 1: ICRDICCT`25; ISBN 978-989-758-777-1, SciTePress, pages 323-329. DOI: 10.5220/0013863400004919

in Bibtex Style

@conference{icrdicct`2525,
author={S. Kannadhasan and R. Sathish and Shimona E. and P. Britto and Jaicristy M. and Tandra Nagarjuna},
title={Scalable Edge-Enabled Distributed Control Framework for Real-Time and Fault-Tolerant Industrial Process Automation},
booktitle={Proceedings of the 1st International Conference on Research and Development in Information, Communication, and Computing Technologies - Volume 1: ICRDICCT`25},
year={2025},
pages={323-329},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0013863400004919},
isbn={978-989-758-777-1},
}

in EndNote Style

TY - CONF

JO - Proceedings of the 1st International Conference on Research and Development in Information, Communication, and Computing Technologies - Volume 1: ICRDICCT`25
TI - Scalable Edge-Enabled Distributed Control Framework for Real-Time and Fault-Tolerant Industrial Process Automation
SN - 978-989-758-777-1
AU - Kannadhasan S.
AU - Sathish R.
AU - E. S.
AU - Britto P.
AU - M. J.
AU - Nagarjuna T.
PY - 2025
SP - 323
EP - 329
DO - 10.5220/0013863400004919
PB - SciTePress