Call for Fast Track Abstracts
A DSN Fast Abstract paper is a lightly reviewed, two-page technical article on new ideas, work in progress, or opinions relevant to dependable and secure systems and networks.
Contributions are particularly solicited from industrial practitioners and academics who may not have been able to prepare and see full papers accepted for DSN, but nevertheless seek an opportunity to engage with, or get feedback from, the DSN community.
Because they are brief and have a later deadline, FastAbstract papers enable their authors to:
- Summarize work that is not yet complete
- Put forward novel or challenging ideas
- State positions on controversial issues
- Introduce new problems looking for a solution
- Suggest new approaches to the solution of open problems
The presenter will have the opportunity to interact with other researchers and practitioners to discuss their work and thus refine their work.
Each presenter will be asked to give, in one of the plenary sessions, a short pitch of the paper, before the Fast Abs session (exact time of the pitch shall be determined by the number of papers selected and time constraints).
Submission Deadline: April 1st, 2018.
Notification: April 22nd, 2018.
Camera Ready Paper: May 4th, 2018.
Papers submitted to the Fast Abstracts track should describe the topic, results obtained till now and future direction of the research. Fast Abstract submissions are not anonymized. Papers submitted should be at most two pages in length and must be formatted using the IEEE Computer Society camera-ready 8.5”x11” two-column camera-ready format (using a 10-point font on 12-point single-spaced leading). The templates are reproduced below for your convenience, and further details can be found here:
All accepted papers will be published in the DSN supplemental volume, and will be presented in dedicated sessions. The Fast Abstract proceedings will be made permanently accessible and referable via IEEE Xplore.
Submit papers in PDF format to email@example.com
Fast Abstract Chair
- Cristina Nita-Rotaru, College of Computer and Information Science Northeastern University, USA
- Regina Lúcia de Oliveira Moraes, UNICAMP, Brasil
Fast Abstract Program Committee