Presenting the COGNIFOG Framework: Architecture, Building Blocks and Road toward Cognitive Connectivity
Author:
Adame Toni1ORCID, Amri Emna2ORCID, Antonopoulos Grigoris3ORCID, Azaiez Selma4ORCID, Berne Alexandre4ORCID, Camargo Juan Sebastian1ORCID, Kakoulidis Harry5, Kleisarchaki Sofia6ORCID, Llamedo Alberto7ORCID, Prasinos Marios5ORCID, Psara Kyriaki8ORCID, Shumaiev Klym9ORCID
Affiliation:
1. Fundació i2CAT, Gran Capità 2-4, 08034 Barcelona, Spain 2. CYSEC SA, EPFL Innovation Park Batiment A, 1015 Lausanne, Switzerland 3. Netcompany-Intrasoft, Fragkokklisias 13, 15125 Maroussi, Greece 4. Commissariat à l’Énergie Atomique et aux Énergies Alternatives, Rue Leblanc 25, 75015 Paris, France 5. Telematic Medical Applications, Skra 1-3, 17673 Kallithea, Greece 6. Kentyou, Cours Berriat 93, 38000 Grenoble, France 7. ATOS IT, Ronda de Europa 5, 28760 Tres Cantos, Spain 8. eBOS Technologies Limited, Arch. Makariou III and Mesaorias 1, Lakatamia 2322, Cyprus 9. Siemens Aktiengesellschaft, Werner-von-Siemens-Straße 1, 80333 Munich, Germany
Abstract
In the era of ubiquitous computing, the challenges imposed by the increasing demand for real-time data processing, security, and energy efficiency call for innovative solutions. The emergence of fog computing has provided a promising paradigm to address these challenges by bringing computational resources closer to data sources. Despite its advantages, the fog computing characteristics pose challenges in heterogeneous environments in terms of resource allocation and management, provisioning, security, and connectivity, among others. This paper introduces COGNIFOG, a novel cognitive fog framework currently under development, which was designed to leverage intelligent, decentralized decision-making processes, machine learning algorithms, and distributed computing principles to enable the autonomous operation, adaptability, and scalability across the IoT–edge–cloud continuum. By integrating cognitive capabilities, COGNIFOG is expected to increase the efficiency and reliability of next-generation computing environments, potentially providing a seamless bridge between the physical and digital worlds. Preliminary experimental results with a limited set of connectivity-related COGNIFOG building blocks show promising improvements in network resource utilization in a real-world-based IoT scenario. Overall, this work paves the way for further developments on the framework, which are aimed at making it more intelligent, resilient, and aligned with the ever-evolving demands of next-generation computing environments.
Funder
European Unionâs Horizon Europe Research and Innovation Framework Programme
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