Leave a comment

CALL FOR PAPERS

+-------------------------------------------------------------+
| Track on Dependable and Adaptive Distributed Systems (DADS) |
| of the 24th ACM Symposium on Applied Computing (SAC'09) |
+-------------------------------------------------------------+

March 8 - 12, 2009
Honolulu, Hawaii, USA
http://www.dedisys.org/sac09/

Accepted papers will be published in the annual conference proceedings and will be included in the ACM digital library.

Important Dates:
Paper submission: August 23, 2008 (extended)
Author notification: October 11, 2008
Camera-ready copies: October 18, 2008

Call details

Dependability is no longer restricted to critical applications, but rather becomes a cornerstone of the information society. Dependability clearly is a holistic concept: Contributing factors are not only technical, but also social, cultural (i.e. corporate culture), psychological (perceived dependability), managerial (information management and processes), and economical. Fostering learning is a key, and simplicity is generally an enabler for dependability.

Unfortunately, heterogeneous, large-scale, and dynamic software systems that typically run continuously often tend to become inert, brittle, and vulnerable after a while. The key problem is, that the most innovative mobile and pervasive systems and applications are the ones that also suffer most from a significant decrease in (deterministic) dependability when compared to traditional critical systems, where dependability and security are fairly well understood as complementary concepts and a variety of proven methods and techniques is available today. In accordance with Laprie we call this effect the dependability gap, which is widened in front of us between demand and supply of dependability, and we can see this trend further fueled by an ever increasing cost pressure.

Future systems need to close the dependability gap in face of challenges such as cross-organisational heterogeneity, massive scale, and mobility. Of course, dependability and adaptiveness can not simply be added to a system like a plug-in module. Rather, for databases, services, middleware, and software development, application developers need tools, sound methodologies, common practices, standards, architectural principles, and middleware services, to tackle the inherent complexity and emerging behavior of distributed systems and to ensure trustworthy services. Therefore, the vision of this track is on the convergence of software development tools with middleware, traditional dependability, fault tolerance, security, and adaptivity concepts, together with social and psychological aspects, to compensate for dependability degradation of running software and services.

Topics of interest
==================

• Architectural and infrastructural principles for adaptive and dependable distributed systems.
• Adaptivity and dependability in service oriented architectures.
• Trust and dependability as complementary and competing aspects. Integration of security and dependability concepts. Balancing and negotiation of dependability and security properties.
• Dependability in complex service oriented environments, GRID-computing, and P2P-systems. Concertation, orchestration, coordination, and context-awareness (context-modeling).
• Middleware support for reunification of network segments and reconciliation of divergent replicas. Consideration of alternative techniques for dynamic configuration and/or reconfiguration.
• New middleware protocols, that are able to work in a peer-to-peer manner in cross-organisational environments and to tackle the challenges of massive scale and mobility.
• Data replication strategies, interfaces, and standards. Interaction of distributed databases with middleware systems.
• Adaptive, optimistic replication models and protocols.
• Group communication and group membership services in failure scenarios with network partitions.
• Other fault tolerance techniques, including transactions and explicit control of quality of service properties.
• Autonomous behaviour and self-* properties.
• Partial and probabilistic approaches for replication, group membership, and distributed consensus in loosely-coupled and ad-hoc environments to improve dependability.
• Support for dependability and adaptiveness in component-based systems (e.g. component frameworks, container services, deployment, composition and substitution of components, building trusted systems from untrusted components).
• Trading of dependability and adaptability with other non-functional requirements like integrity (consistency) or performance. Approaches to improve the scalability of dependable and adaptive systems.
• Foundations and formal methods (e.g., rigorous development of dependable systems, verification and refinement of fault tolerant systems, techniques and mechanisms ensuring application level fault tolerance).
• System design, modeling, development and tool support for dependable and adaptive systems

Track program co-chairs

Karl M. Göschka (chair)
Svein O. Hallsteinsen
Rui Oliveira
Alexander Romanovsky

Organizational chair

Lorenz Froihofer, dads09@dedisys.org

Program committee
=================

• Enrique Armendariz, Universidad Publica de Navarra (Spain).
• Alberto Bartoli, University of Trieste (Italy).
• Stefan Beyer, Instituto Tecnologico de Informatica Valencia (Spain).
• Michael Butler, University of Southampton (UK).
• Emmanuel Cecchet, University of Massachusetts Amherst (USA).
• Vicent Cholvi, Universitat Jaume (Spain).
• Xavier Defago, Japan Advanced Institute of Science and Technologies (Japan).
• Schahram Dustdar, Vienna University of Technology (Austria).
• Frank Eliassen, University of Oslo (Norway).
• Pascal Felber, Université de Neuchâtel (Switzerland).
• Jacqueline Floch, Stiftelsen for industriell og teknisk forskning - SINTEF (Norway).
• Christina Gacek, University of Newcastle (UK).
• Kurt Geihs, University of Kassel (Germany).
• Holger Giese, Hasso Plattner Institut (Germany).
• Matti Hiltunen, AT&T Labs (USA).
• Marc-Olivier Killijian, LAAS-CNRS (France).
• Mikel Larrea, Euskal Herriko Unibersitatea (Spain).
• Rogerio De Lemos, University of Kent (UK).
• Marin Litoiu, IBM (Canada).
• Istvan Majzik, Budapest University of Technology and Economics (Hungary).
• Pietro Manzoni, Universidad Politécnica de Valencia (Spain).
• Aad van Moorsel, University of Newcastle (UK).
• Francisco D. Muñoz-Escoí, Instituto Tecnologico de Informatica Valencia (Spain).
• Marta Patino-Martinez, Universidad Politecnica de Madrid (Spain).
• Fernando Pedone, Università della Svizzera Italiana (Switzerland).
• Jose Pereira, Universidade do Minho (Portugal).
• Calton Pu, Georgia Institute of Technology (USA).
• Roland Reichle, University of Kassel (Germany).
• Luis Rodrigues, Universidade de Lisboa (Portugal).
• Luigi Romano, University of Naples (Italy).
• Giovanni Russello, Imperial College London (UK).
• Andre Schiper, Ecole Polytechnique Federale de Lausanne (Switzerland).
• Dietmar Schreiner, Vienna University of Technology (Austria).
• Kaisa Sere, Åbo Akademi University (Finland).
• Stefan Tai, University of Karlsruhe (Germany).
• Jan Tretmans, Radboud University Nijmegen (Netherlands).
• Sara Tucci Piergiovanni, Univ. degli Studi di Roma La Sapienza (Italy).
• Paolo Verissimo, University of Lisboa (Portugal).
• Roman Vitenberg, University of Oslo (Norway).
• Uwe Zdun, Vienna University of Technology (Austria).