- 2013.11.27: Photo is updated.
- 2013.11.11: Technical Program is updated.
- 2013.10.07: Social Events are updated.
- 2013.09.27: Technical Program is updated.
- 2013.09.11: Tutorials, Keynote Speakers, and Travel Information are updated.
- 2013.09.02: Accepted Papers are updated.
- 2013.08.28: Registration is open.
- 2013.08.28: Hotel Information and Venue are updated.
- 2013.08.27: Accepted Papers are updated.
- Abstract Submission:
July 10, 2013 July 15, 2013July 17, 2013(UTC-12) (Extended Again!)
- Paper Submission:
July 15, 2013July 17, 2013(UTC-12) (Extended)
- Notification: August 25, 2013
- Camera Ready Submission: August 31, 2013
SSS is an international forum for researchers and
practitioners in the design and development of
distributed systems with self-* properties: (classical) self-stabilizing,
self-configuring, self-organizing, self-managing, self-repairing, self-healing, self-optimizing,
self-adaptive, and self-protecting.
Research in distributed systems is now at a crucial
point in its evolution, marked by the importance of dynamic
systems such as peer-to-peer
networks, large-scale wireless sensor networks, mobile ad hoc networks,
cloud computing, robotic networks, etc.
Moreover, new applications such as grid and web services, banking and
e-commerce, e-health and
robotics, aerospace and avionics, automotive, industrial process control, etc. have joined the
traditional applications of distributed systems.
The theory of self-stabilization has been enriched in the last 30 years by high quality research contributions in the areas of algorithmic techniques, formal methodologies, model theoretic issues, and composition techniques. All these areas are essential to the understanding and maintenance of self-* properties in fault-tolerant distributed systems.
The conference provides a wide spectrum of topics, covered in the following tracks:
- Fault-tolerance and Dependability
- Formal Methods and Distributed Systems
- Ad-hoc, Sensors, Mobile Agents and Robot Networks
- P2P, Social, Self-organizing, Autonomic and Opportunistic Networks