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, and cyber-security. The 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.
The topics of interest target several aspects of dependable systems and networks:
- Hardware (e.g., VLSI, FPGA, and SOC)
- Technology (e.g., FinFET, nanotechnology, soft errors, and obsolescence of HW components)
- Networks (e.g., networks on a chip, optical networks, and wireless networks)
- Software (e.g., applications, middleware, and operating systems)
- Security (e.g., hardware and software cyber-security, and network security)
- Safety (e.g., autonomous critical systems/objects, car-to-X, plane-to-X systems)
- Field data (e.g. hardware and software fault/error data)
- Applications (e.g., embedded systems, drive by wire, and autonomous vehicles)
The Industry Track aims in particular at promoting and fostering discussion on advanced current work in an industrial context, feedback from experiments, scalability issues regarding recent techniques, novel technology-related problems, etc.
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:
- Dependability Issues in Software Defined Networks (SDN)
- Dependability of Cyber-physical Systems and Internet of Things
- Safety and Security of Intelligent Vehicles
- Dependability Assessment of Complex Systems
- Dependability, Privacy, and Security of Clouds
- Dependability of Data Centers and Virtual Machines
- Dependability and Security of System Operation
- Fault-tolerance for Extreme Scale Systems
- Trustworthiness of Smart Grids
- Dependability and Security of Big Data Systems
- Dependability of Blockchain and Financial Technology (Fintech) Systems
Important Dates
Submission Deadline: April 1st, 2018 April 8th, 2018.Notification: April 22nd, 2018 April 28th, 2018.Camera Ready Materials: May 4th, 2018.
Submission Guidelines
Contributions can be in one of three formats:
- Position papers can focus on specific dependability aspects in practice, either a product or service offered to the market or dependability analysis tools.
- Short papers should emphasize dependability challenges, practical solutions, trade-offs, strengths and weaknesses of adopted solutions, lessons learned, and field and/or measured data.
- Posters should address dependability aspects of either a product or service offered to the market or in advance stages of development.
All materials must be written in English, 1 page for position papers, or 2 to 4 pages for short papers (IEEE double-column format). Papers must be submitted in their final form. For poster submissions, an abstract summarizing the poster content (750 words – free format) must be submitted. A Poster template will be available for the selected abstracts. Posters will be exhibited in the conference according to the agenda.
Contributions must be in PDF and emailed to the industry_track@dsn.org
All accepted papers/abstracts will be published in the DSN supplemental volume and made available in IEEE Xplore.
Accepted materials will be presented in dedicated sessions.
Industrial Track co-Chairs
- Sy-Yen Kuo, National Taiwan University, Taiwan
- Harigovind V Ramasamy, IBM, USA
- Robert Swarz, Worcester Polytechnic Inst., USA
- Alan Wood, Oracle, USA
Contact
Track Program Committee:
- Gabriella Carrozza, Accenture, Italy
- Shuo Chen, Microsoft Research, USA
- Simon Fürst, BMW, Germany
- Matti Hiltunen, AT&T Research, USA
- Phil Koopman, Carnegie Mellon University, USA
- Karthik Pattabiraman, Univ of British Columbia, Canada
- Matthias Schunter, Intel, Germany
- Gabriela Jacques da Silva, Facebook, USA
- Devesh Tiwari, Northeastern University, USA
- Timothy Tsai, Nvidia, USA
- Long Wang, IBM, USA
- Keun Soo Yim, Google, USA