Enhancing DevOps Practices in the IoT–Edge–Cloud Continuum: Architecture, Integration, and Software Orchestration Demonstrated in the COGNIFOG Framework

This paper presents COGNIFOG, an innovative framework under development that is designed to leverage decentralized decision-making, machine learning, and distributed computing to enable autonomous operation, adaptability, and scalability across the IoT–edge–cloud continuum. The work emphasizes Continuous Integration/Continuous Deployment (CI/CD) practices, development, and versatile integration infrastructures. The described methodology ensures efficient, reliable, and seamless integration of the framework, offering valuable insights into integration design, data flow, and the incorporation of cutting-edge technologies. Through three real-world trials in smart cities, e-health, and smart manufacturing and the development of a comprehensive QuickStart Guide for deployment, this work highlights the efficiency and adaptability of the COGNIFOG platform, presenting a robust solution for addressing the complexities of next-generation computing environments.

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Publication Details

Journal
Software
Published
2025-04-15
DOI
https://doi.org/10.3390/software4020010
Citations
4
Primary Topic
IoT and Edge/Fog Computing
Type
article
Field-Weighted Citation Impact
5.95

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article

Enhancing DevOps Practices in the IoT–Edge–Cloud Continuum: Architecture, Integration, and Software Orchestration Demonstrated in the COGNIFOG Framework

Kostas Petrakis, Selma Azaiez, Eleni Veroni, Themistoklis Anagnostopoulos et al.
4 citations
Software
IoT and Edge/Fog Computing
5.95
article

Enhancing DevOps Practices in the IoT–Edge–Cloud Continuum: Architecture, Integration, and Software Orchestration Demonstrated in the COGNIFOG Framework

Kostas Petrakis, Selma Azaiez, Eleni Veroni, Themistoklis Anagnostopoulos, G. Antonopoulos, P. Sotiriades, Zakaria Benomar, Alexandre Berne, Panagiotis Mavrothalassitis, Marios Prasinos, Kosmas Alexopoulos, Nasos Grigoropoulos, Harry Kakoulidis, Evangelos Agorogiannis
article en
4 citations

Abstract

This paper presents COGNIFOG, an innovative framework under development that is designed to leverage decentralized decision-making, machine learning, and distributed computing to enable autonomous operation, adaptability, and scalability across the IoT–edge–cloud continuum. The work emphasizes Continuous Integration/Continuous Deployment (CI/CD) practices, development, and versatile integration infrastructures. The described methodology ensures efficient, reliable, and seamless integration of the framework, offering valuable insights into integration design, data flow, and the incorporation of cutting-edge technologies. Through three real-world trials in smart cities, e-health, and smart manufacturing and the development of a comprehensive QuickStart Guide for deployment, this work highlights the efficiency and adaptability of the COGNIFOG platform, presenting a robust solution for addressing the complexities of next-generation computing environments.

SoftwareVol. 4(2)
University of Patras (GR), National and Kapodistrian University of Athens (GR), Commissariat à l'Énergie Atomique et aux Énergies Alternatives (FR), Université Paris-Saclay (FR), Laboratoire d'Intégration des Systèmes et des Technologies (FR), INTRASOFT International (Luxembourg) (LU), Thales (France) (FR)
European Commission, HORIZON EUROPE Framework Programme
Industry, innovation and infrastructure
Openalex Percentile: Top 4%
IoT and Edge/Fog Computing
5.95
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