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 Conti...

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Veröffentlicht in:Software Jg. 4; H. 2; S. 10
Hauptverfasser: Petrakis, Kostas, Agorogiannis, Evangelos, Antonopoulos, Grigorios, Anagnostopoulos, Themistoklis, Grigoropoulos, Nasos, Veroni, Eleni, Berne, Alexandre, Azaiez, Selma, Benomar, Zakaria, Kakoulidis, Harry, Prasinos, Marios, Sotiriades, Philippos, Mavrothalassitis, Panagiotis, Alexopoulos, Kosmas
Format: Journal Article
Sprache:Englisch
Veröffentlicht: MDPI AG 15.04.2025
Schlagworte:
cognitive connectivity
edge computing
fog computing
IoT
IoT–edge–cloud continuum
service orchestration
ISSN:2674-113X, 2674-113X
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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.
AbstractList 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.
Author Berne, Alexandre
Benomar, Zakaria
Veroni, Eleni
Antonopoulos, Grigorios
Agorogiannis, Evangelos
Grigoropoulos, Nasos
Mavrothalassitis, Panagiotis
Kakoulidis, Harry
Prasinos, Marios
Azaiez, Selma
Alexopoulos, Kosmas
Petrakis, Kostas
Anagnostopoulos, Themistoklis
Sotiriades, Philippos
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SubjectTerms cognitive connectivity
edge computing
fog computing
IoT
IoT–edge–cloud continuum
service orchestration
Title Enhancing DevOps Practices in the IoT–Edge–Cloud Continuum: Architecture, Integration, and Software Orchestration Demonstrated in the COGNIFOG Framework
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