May 30th, Campo Grande, Mato Grosso do Sul
Co-located with the 29th Brazilian Symposium on Computer Networks and Distributed Systems (SBRC 2011)
Overview
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, among others, 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-manageable 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.
Topics of Interest
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.
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