Efficient Server Management Architecture Based on Cloud Edge Integration with Advanced Security Enhancements

D. Prasanna, S. Parasuraman, S. R. Magesh, S. Narayana Badri, G. Ragul

2025

Abstract

This research examines the transition from completely automated to fully data-assisted process control in production systems. The process is optimized in current concepts through data analysis using a decision support system after manufacturing is finished. Prescriptive automation endeavors to regulate the process independently and beforehand by employing a prescriptive analytics methodology. The development of information technology architecture is a critical component of the overall concept. By conducting expert interviews and reviewing recent literature, it is feasible to ascertain the components of IT architecture that are necessary for prescriptive automation. These requirements, which are solution components, are in opposition to the purpose of a modular architectural concept. Reference architecture is established by analyzing the requirements and, as a result, the components of the solution that are necessary, provided that the data processing resources are available. The processing components of this architecture are built upon a combination of cloud and peripheral computing. This study concentrates on the latest hazards to privacy, data security, and real-time processing in the cloud manufacturing environment. The objective of the investigation is to establish a scalable security framework that can ensure secure data transmission, safeguard sensitive information, and facilitate secure access control in dynamic and distributed manufacturing environments by capitalizing on the synergy between cloud and edge technologies. This study introduces a novel technique, Advanced Edge Integrated Cloud Security (AEICS), and employs it to evaluate the efficacy of the proposed scheme by cross-validating it with the current approach, Cloud Manufacturing System (CMS). The research will also assess the potential benefits of this integrated security architecture in enhancing the reliability, efficiency, and resilience of cloud manufacturing systems, as well as provide best practices for its deployment and implementation. The results section contains a comprehensive demonstration of the efficacy of the proposed scheme in detail.

Paper Citation

in Harvard Style

Prasanna D., Parasuraman S., Magesh S., Badri S. and Ragul G. (2025). Efficient Server Management Architecture Based on Cloud Edge Integration with Advanced Security Enhancements. 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 770-778. DOI: 10.5220/0013872600004919

in Bibtex Style

@conference{icrdicct`2525,
author={D. Prasanna and S. Parasuraman and S. Magesh and S. Badri and G. Ragul},
title={Efficient Server Management Architecture Based on Cloud Edge Integration with Advanced Security Enhancements},
booktitle={Proceedings of the 1st International Conference on Research and Development in Information, Communication, and Computing Technologies - Volume 1: ICRDICCT`25},
year={2025},
pages={770-778},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0013872600004919},
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 - Efficient Server Management Architecture Based on Cloud Edge Integration with Advanced Security Enhancements
SN - 978-989-758-777-1
AU - Prasanna D.
AU - Parasuraman S.
AU - Magesh S.
AU - Badri S.
AU - Ragul G.
PY - 2025
SP - 770
EP - 778
DO - 10.5220/0013872600004919
PB - SciTePress