WoSiDA – CHAMADA DE TRABALHOS

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.