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...

Full description

Saved in:
Bibliographic Details
Published in:Software Vol. 4; no. 2; p. 10
Main Authors: 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
Language:English
Published: MDPI AG 15.04.2025
Subjects:
cognitive connectivity
edge computing
fog computing
IoT
IoT–edge–cloud continuum
service orchestration
ISSN:2674-113X, 2674-113X
Online Access:Get full text
Tags: Add Tag
No Tags, Be the first to tag this record!
Description
Summary: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.
ISSN:2674-113X
2674-113X
DOI:10.3390/software4020010