In the rapidly evolving landscape of decentralizing computing at the edge of the network, CFC workshop aims toexplore the advancements and challenges associated with Cognitive Fog. This workshop will delve into theintricate interplay between edge computing, artificial intelligence, and fog computing to create intelligent,responsive, and scalable systems.

Cognitive fog represents a significant advancement in the field of edge data processing, combining the benefitsof fog computing and artificial intelligence. By integrating AI algorithms directly at the edge devices, cognitivefog enables real-time data processing and decision-making, which are crucial for critical applications such asautonomous vehicles, smart cities, and the Internet of Things (IoT).

CFC workshop aims to gather researchers and innovators from the industry to discuss the latest research oncognitive fog architectures. The workshop aims to cover the enabling technologies for an intelligentorchestration with advanced capabilities allowing real-time monitoring with AI-based analytical capabilities toenhance security, privacy and reliability while ensuring advance load balancing and improving energy efficiency.

TOPICS OF INTEREST

Researcher and innovator are invited to submit papers related to:

• Architectural, Programming, and Deployment Models: novel architectures for cognitive fog systems;programming models and frameworks for edge AI; deployment strategies and tools for cognitive fogapplications;
• Artificial Intelligence in the Fog: AI algorithms and models optimized for edge devices ; real-time dataprocessing ; cognitive computing continuum and AI-driven decision-making;
• Enabling Technologies: Advanced containerization and orchestration (e.g., Kubernetes, Docker);Virtualization technologies and hardware acceleration for cognitive fog; trusted computing environmentsand secure enclaves for edge AI; lightweight and efficient AI inference engines for edge devices.
• Cloud-Edge Continuum Management: autonomic and adaptive management for cognitive fog systems; self-* properties (self-healing, self-optimizing, etc.) in cognitive fog; Service Level Agreements (SLAs) andperformance models for cognitive fog ; monitoring ;
• Scalability and Resource Management: scheduling techniques for cognitive fog resources; Quality of Service(QoS) and Quality of Experience (QoE); load balancing and workload management for cognitive fog systems.

Submission Guidelines

All papers must be original and not simultaneously submitted to another journal or conference. 

Submission link through

All submissions must be in English and PDF according to the ACM two-column format and should not exceed 6 pages. All submissions will be peer-reviewed by the Program Committees of the workshop.

Committees

Program Committee

• Antonio Puliafito, Università di Messina,Italy
• Andrea Passarella, IIT-CNR, Italy
• Paolo Bellavista, University of Bologna, Italy 
• Giovanni Merlino, University of Messina, Italy
• Toni Adame - I2CAT, Spain
• Alexandre Berne - CEA, France
• Zakaria Benamor - Thales, France

Organizing committee

• Dr. Selma Azaiez, CEA List, France
• Dr. Rute Sofia, Fortiss, Germany
• Pr. Paul Townend, Umeå University, Sweden

Contact

selma.azaiez@cea.fr