Track: Self Stabilization
- Sebastien Tixeuil UPMC Sorbonne Universite
- Koichi Wada Hosei University
Track Program Committee
- Sylvie Delaet Laboratoire de Recherche en Informatique (LRI - CNRS)
- Stephane Devismes University of Grenoble
- Emmanuel Godard Aix-Marseille University
- Ted Herman University of Iowa
- Taisuke Izumi Nagoya Institute of Technology
- Colette Johnen University of Bordeaux
- Sayaka Kamei Hiroshima University
- Jun Kiniwa University of Hyogo
- Mikhail Nesterenko Kent State University
- Fukuhito Ooshita Osaka University
- Riko Jacob ETH Zurich
- Stefan Schmid TU Berlin & Telekom Innovation Laboratories (T-Labs)
- Mordo Shalom Tel-Hai College
- Josef Widder Technische Universitat Wien
- Yukiko Yamauchi Kyushu University
- Shmuel Zaks Technion
Stabilization is the cornerstone of the long series of SSS conferences initiated in 1989.
(Self-)Stabilization is the property of an autonomous process to obtain a correct behavior
in finite time, regardless of the initial state it was in. In other words, stabilization enables
(distributed) systems to automatically recover from unexpected behaviors with respect to an
expected behavior. Depending on the system characteristics, such unexpected behaviors can be
topological changes, transient faults affecting the process state or the channel content,
perturbations of radio waves, etc. Recently, the range of distributed systems, where stabilization
offers a promising approach, has largely expanded, e.g., peer-to-peer networks, grid systems,
large-scale wireless sensor networks, mobile ad hoc networks, mobile robot networks, nanorobotic, VLSI, etc.
Topics include, but are not limited to:
- stabilization in distributed and networked systems.
- stabilizing and emergent properties in dynamic networks.
- self-managed, self-assembling, self-healing, self-protecting and self-adaptive systems.
- self-* abstractions for implementing fundamental services in static and dynamic distributed systems.
- self-stabilization in decentralized and real-time control applications.
- models of fault-tolerant communication models of fault-tolerant communication.
- fault tolerance, reliability, availability in self-stabilizing systems.
- impossibility results and lower bounds for stabilization.
- performance and complexity analysis of self-stabilization.
- applications of stabilization, experience reports.
- stochastic, physical, and biological models to analyze self-* properties.