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2025-05-04
Special Issue on AI-Driven Real-Time Distributed Computing for the Edge-Cloud Continuum Submission Date: 2025-10-30 Guest editors:
Daniel Casini, PhD
Scuola Superiore Sant'Anna, Pisa, Italy
Pascal Berthou, PhD
University of Toulouse III, UPS, CNRS-LAAS Toulouse, France
Mustafa Al Lail, PhD
Texas A&M International University, Laredo, TX, USA
AKRAM HAKIRI, PhD
University of Pau & Pays de l’Adour, France
Aniruddha S Gokhale, PhD
Vanderbilt University, USA
Thierry Gayraud, PhD
LAAS-CNRS, University of Toulouse, CNRS, UPS, France
Special issue information:
The widespread evolution of Artificial Intelligence (AI)-driven Internet of Things (IoT) applications, such as autonomous systems, smart cities, and industrial automation, have significantly altered the landscape of real-time distributed computing. These advancements lay the foundation for future innovations toward ensuring system performance, dependability, testability, reliability, flexibility, scalability, and autonomous computing. These ilities are particularly important as we move toward 2030, where themes such as AI-driven networks, 6G connectivity, massive twining, metaverse, self-autonomous robots, and smart autonomous systems demand robust, real-time processing and intelligent decision-making across a distributed network infrastructure.
This special issue solicits high-quality papers pertaining to all aspects of objects, components, service-oriented real-time and distributed computing technology that address the growing challenges of real-time distributed computing, particularly through case studies and applications that demonstrate the efficacy of proposed methods in real-world distributed systems, to meet the demands of next-generation edge AI-enabled IoT applications such as autonomous vehicles, smart cities, intelligent transportation systems, industrial automation systems and industry 4.0, smart grids, avionics, spatial, under-water, autonomous vehicles, consumer electronics, multimedia processing, etc. with an emphasis on scalability, security, and integration with modern technologies. The specific SI focus areas include, but are not limited to:
Distributed and/or Real-Time Image, video, and Stream Processing
Emerging Next-Gen Software-Defined Embedded Systems and Networks
Federated Learning, TinyML, Edge ML, Generative AI, and Fog Computing
Real-Time Data Analytics, Management, and Monitoring
Middleware, Cloud Connectivity, and Microservices
DevOps for Distributed Real-time Computing
Optimization Algorithms, metaheuristics, and graphs for Edge-Cloud continuum
Sustainable and Green Computing Transformation
Formal Methods, Verification, and Model Checking
Ontology-based Knowledge Modeling
Dependability, Fault tolerance, and Resilience
AI/ML Algorithms for Real-Time Analytics
Operating Systems, Middleware, and System software and Software architectures
Blockchain and Security Enhancements
Digital Twins for Distributed and/or Real-Time IoT Systems and Applications
Manuscript submission information:
Prospective authors should submit their manuscripts following The Journal of Systems Architecture (JSA) guidelines. Details can be found at: Guide for authors - Journal of Systems Architecture.
Solicited original submissions must not be currently under consideration for publication in other venues. All manuscripts and any supplementary material should be submitted through the Submission site for Journal of Systems Architecture. Please select the “VSI:AI4ORC” option as article type of the paper.
All submissions deemed suitable by the editors to be sent for peer review will be reviewed by at least two independent reviewers. Once your manuscript is accepted, it will go into production to be published in the special issue.
The special issue anticipates receiving extended papers from the IEEE ISORC 2025 conference.
Manuscript Submission Deadline: October 30, 2025
