The extensive reliance on computing systems and networks raises numerous dependability challenges. Researchers and practitioners face complex interdisciplinary issues, from manufacturing technology to hardware and software development, networking, integration of complex systems, cyber-security, and the deployment of AI-based systems in production. The DSN-2027 Industry Track provides a forum for interaction between industry and academia, and presentation of the latest R&D and operational challenges, practical solutions, case studies, and field dependability data.

Industry contributions to the DSN community are invited to address dependability issues related to either the development process or the operation of critical systems as seen from an industrial perspective.

Important Dates

Date	Milestone
March 1, 2027	Abstract Submission Deadline
March 8, 2027	Paper Submission Deadline
April 19, 2027	Notification to Authors
April 26, 2027	Camera-ready Materials

All dates refer to AoE time (Anywhere on Earth).

Topics of Interest

The topics of interest target several aspects of dependable systems and networks:

• Agentic AI systems (e.g., dependability and security of deployed agentic and LLM-based systems, guardrails, evaluation, and observed failure modes in production)
• AI infrastructure (e.g., reliability and resilience of large-scale training and inference fleets, accelerator failures, checkpointing and recovery)
• Hardware (e.g., VLSI, FPGA, SOC, CPUs/GPUs/DPUs/TPUs, memory and storage systems, hardware accelerators)
• Technology (e.g., FinFET, nanotechnology, soft errors, silent data corruption, and obsolescence of HW components)
• Networks (e.g., networks on a chip, optical networks, wireless networks, and storage fabrics)
• Software (e.g., applications, middleware, operating systems, and data management systems)
• Security (e.g., hardware and software cyber-security, network security, software supply chain integrity)
• Safety (e.g., autonomous critical systems/objects, car-to-X, plane-to-X systems, robots)
• Field data (e.g., hardware and software fault/error data from production systems)
• AI/ML (e.g., trustworthiness, fairness, adversarial attacks and defenses, factuality, toxicity and robustness)
• Applications (e.g., embedded systems, drive by wire, and autonomous vehicles)
• Development paradigms (e.g., AIOps, MLOps, DevSecOps)

The objective of this track is not to compete with the main DSN track, where finalized research and development work is presented, but to give the members of industrial and academic communities the opportunity to discuss hot topics regarding the future of dependable systems and networks, and to share experience among different industrial domains including, but not limited to dependability, privacy, safety, and security issues in:

• Cyber-physical systems and Internet of Things (IoT)
• Intelligent vehicles and transportation systems (e.g., road, rail, air, maritime)
• Clouds, software-defined data centers, and virtual machines
• Embedded and edge computing, and extreme scale systems
• System operations
• Critical infrastructures (e.g., smart grids, telecommunications)
• Big data systems
• AI/ML, and AI/ML-based systems
• Physical AI systems
• Blockchain and financial technology (Fintech) systems

We solicit contributions addressing different aspects including a focus on specific dependability aspects in practice, either a product or service offered to the market or dependability analysis tools, dependability challenges, practical solutions, tradeoffs, strengths and weaknesses of adopted solutions, lessons learned, and field and/or measured data.

Submission Guidelines

All materials must be written in English up to 6 pages and must adhere to the IEEE Computer Society 8.5″×11″ two-column camera-ready format (using a 10-point font on 12-point single-spaced leading) available at the IEEE conference template page. The list of references is not included in the 6 pages. Papers must be submitted in their final form.

Practical aspects of previously presented scientific papers in a recent conference or edition are welcome, it helps if a clear connection and added value is pointed out.

Contributions must be in PDF. Submission link to be announced.

Submissions will undergo a single-blind review process.

Publication and Presentation

All accepted papers will be published in the DSN supplemental volume and made available in IEEE Xplore. Accepted materials will be presented in dedicated sessions.

Industry Track Co-Chairs

• Saurabh Bagchi, Purdue University, USA
• Rajarshi Chowdhury, Oracle, USA
• Marco Platania, AT&T, USA

Contact

For further information please send an email to industry_track@dsn.org.