Co-located with SBRC 2013 – Brazilian Symposium on Computer Networks and Distributed Systems
Brasilia-DF | Centro de Convenções Ulysses Guimarães
May 6 -10, 2013
Advances in network and computing technologies are resulting in increasingly complex distributed systems and applications that are hard to manage, especially when the related services are required to be scalable, secure, and continuously available. Adapting at run time is required to cope with challenges such as resource variability, changing user requirements, and system intrusions or faults. As a consequence, these systems need the ability to be self-manageable, continually reconfiguring and tuning themselves to attain certain goals while keeping its complexity hidden from the users. Therefore, the study of such self-managing systems has received a great deal of attention in many computing areas, such as robotics, software engineering, network management, automation and control systems, fault-tolerant and dependable computing, and biological computing. Among the efforts to study and understand self-managing systems, the autonomic computing paradigm, inspired by the human autonomic nervous system, is being adopted by many for the design of systems and applications that must work in accordance with high-level guidance from humans, and are characterized by the so-called self-* properties (such as self-configuration, self-healing, self-optimization, self-protection, etc.). This workshop aims at bringing together researchers and practitioners from the distributed systems community to discuss the fundamental principles, state of the art, and critical challenges of self-managing or autonomic distributed systems. The workshop not only focuses on distributed system models and algorithms, but also on the related software engineering aspects, tools, and technologies, that can be used to support self-managing behavior in distributed systems.
The topics of interest include, but are not limited to: distributed system models and algorithms for autonomic distributed systems; programming, design, middleware and language support for autonomic distributed systems; modeling and analysis of autonomic distributed systems; verification and validation of autonomic distributed systems; dependability aspects of autonomic distributed systems; self-organizing aspects as a support to autonomic behavior in Grids, P2P systems, and sensor networks; bio-inspired algorithms and techniques for autonomic distributed systems; and autonomic networking.
Authors are invited to submit position papers of a maximum 4 page length in the SBC format (written in English, Portuguese, or Spanish). The program committee will favor papers that are likely to generate discussions at the workshop and those that are supported by some form of experimental validation, including but not limited to implementations. At least one author of an accepted paper must register at the symposium and present the paper at the workshop.
The submission of papers will be exclusively online, through the JEMS conferencing system. Authors should access https://jems.sbc.org.br/sbrc2013.
Papers must follow the SBC format, available at http://www.sbc.org.br/template.
Alirio Santos de Sá, Federal University of Bahia (UFBA / Brazil); | Luís E. T. Rodrigues, Technical University of Lisbon (UTL / Portugal); |
Antonio Casimiro Costa, University of Lisbon (UL / Portugal); | Neuman Souza, Federal University of Ceará (UFC / Brazil); |
Edison Pignaton de Freitas, University of Brasília (UNB / Brazil); | Orlando Loques, Fluminense Federal University (UFF / Brazil); |
Edmundo Madeira, University of Campinas (UNICAMP / Brazil); | Raimundo J. A. Macêdo, Federal University of Bahia (UFBA/ Brazil); |
Fabio Moreira Costa, Federal University of Goiás (UFG / Brazil); | Renato Cerqueira, IBM Research Brazil and PUC-Rio (Brazil); |
Flávio Assis Silva, Federal University of Bahia (UFBA / Brazil); | Rui Oliveira, University of Minho (UMINHO / Portugal); |
Franz Rammig, University of Paderborn (UPB / Germany); | Sand Luz Corrêa, Federal University of Goiás (UFG / Brazil); |
Lisandro Granville, Federal University of Rio Grande do Sul (UFRGS / Brazil); | Sérgio Gorender, Federal University of Bahia (UFBA / Brazil); |
Tales Heimfarth, Federal University of Lavras (UFLA / Brazil); |