The Demo, Datasets & Open Repositories Track at IEEE CloudNet 2026 is a premier hands-on forum for researchers and practitioners to showcase operational prototypes, curated datasets, and open-source artifacts. We prioritize submissions that foster reproducibility and accelerate the transition from theory to real-world application.
We solicit technical demonstrations, Proof-of-Concept (PoC) implementations, datasets, and open repositories that bridge the gap between theoretical research and practical deployment, while providing tangible evidence of innovation and ensuring that high-level concepts are grounded in reproducible, operational environments.
Accepted Artifact Types:
- Functional Prototypes: Hardware/software systems, mobile/wearable apps, and novel prototyping toolkits.
- Experimental Frameworks: Testbeds, simulators, and digital twins.
- Curated Datasets: Collections including detailed methodology, metadata, and ethical compliance statements.
- Open Repositories: Codebases with tagged releases, CI/test notes, and scripts to replicate baseline results.
Note: Cross-thematic submissions are highly encouraged. Marketing or purely commercial sales demonstrations are excluded from this track.
Topics of Interest
We invite demos and artifacts spanning the following areas (but not limited to):
- Cloud-Native SDN/NFV Evolution: Architecting the future of networking through microservices, containers, and automated orchestration with a focus on intent-based, self-managing systems.
- The Edge-to-Cloud Continuum: Integrating multi-cloud, edge, and fog environments into a unified fabric to optimize real-time latency and decentralized resource scaling.
- Next-Gen Wireless & Open APIs Exposure: Pushing the boundaries of B5G and 6G through programmable architectures, reconfigurable surfaces, and native API exposure (e.g., CAMARA).
- AI-Driven Autonomous Orchestration: Leveraging AI for intent recognition and proactive agentic orchestration to enable self-optimizing, closed-loop infrastructure.
- Intelligent Network Optimization: Applying big data, deep learning, and reinforcement learning to drive predictive maintenance and dynamic, user-centric resource allocation.
- Digital Twins & Semantic Modeling: Utilizing semantic web technologies, ontologies, and digital twin frameworks for real-time monitoring and intelligent network simulation.
- Experimental Testbeds & Prototyping: Showcasing analytical models, simulation environments, and physical lab testbeds that accelerate the validation of next-generation systems.
- IoT & Smart Verticals: Integrating ecosystems for Smart Grids, Industrial IoT, and Intelligent Transport through data fusion and end-to-end connectivity solutions.
- Green & Sustainable Communications: Advancing energy-efficient networking through energy harvesting, low-power hardware, and carbon-aware communication strategies.
- Immersive Services & Media: Delivering next-level experiences in AR/VR, the metaverse, and cloud gaming through agile, intent-aware network architectures.
- Non-Terrestrial & Space Networks: Innovating within LEO constellations and integrated terrestrial-satellite systems to extend connectivity to extreme or remote environments.
- Security, Trust & Performance: Enhancing infrastructure through QoS/QoE optimization, blockchain-enabled trust, and quantum-safe cryptographic protocols.
- Emerging Communication Frontiers: Exploring unconventional paradigms, including molecular, nanoscale, and quantum-enhanced communication systems.
Submission Instructions
All submissions must be a single 2-page PDF following the IEEE double-column format (10 pt). This document must be self-contained and include links to any external artifacts (videos, datasets, or code).
Required Manuscript Structure
Submissions must include the following labeled sections:
- Title & Author List: Include presenter contact info and specify onsite or remote operation.
- 35-word Abstract: A concise summary of the artifact and its significance.
- Overview: Technical description and delivery format (physical, remote, or video).
- Innovation & Contribution: The specific research problem addressed and the novelty of the solution.
- Relevance to CloudNet: Target audience use cases and key takeaways.
- Demonstration Plan & Requirements: Step-by-step scenario, space/power/AV needs, and estimated runtime.
- Artifact Details:
- Datasets: Schema, collection methodology, license, and archival plan (DOI).
- Repositories: Public URL, tagged release, and minimal reproduction steps.
- Demos: System maturity, evaluation metrics, and expected visible outcomes.
- Ethics, Privacy & Safety: Anonymization, consent, and safety considerations.
- Short Bibliography: A brief list of key references.
Important: If an artifact is not public, authors must provide a clear access plan (e.g., restricted access procedure or synthetic samples).
The Demos & Artifacts session will take place on site. Accepted and presented demos and artifacts will be included in the IEEE CloudNet 2026 and they will be submitted to IEEE Xplore®.
