SASO 2011 - 2011 5th IEEE International Conference on Self-Adaptive and Self-Organizing Systems (SASO)

The aim of SASO conference series is to provide a forum for laying the foundations of a new principled approach to engineering systems, networks and services based on self-adaptation and self-organization. To this end, the meeting aims to attract participants with different backgrounds, to foster cross-pollination between different research fields, and to expose and discuss innovative theories, frameworks, methodologies, tools, and applications.

The complexity of current and emerging computing systems has led the software engineering, distributed systems and management communities to look for inspiration in diverse fields (e.g., complex systems, control theory, artificial intelligence, sociology, and biology) to find new ways of designing and managing networks, systems and services. In this endeavor, self-organization and self-adaptation have emerged as two promising interrelated facets of a paradigm shift.

Self-adaptive systems work in a top down manner. They evaluate their own global behavior and change it when the evaluation indicates that they are not accomplishing what they were intended to do, or when better functionality or performance is possible. A challenge is often to identify how to change specific behaviors to achieve the desired improvement. Self-organizing systems work bottom up. They are composed of a large number of components that interact locally according to typically simple rules. The global behavior of the system emerges from these local interactions. Here, a challenge is often to predict and control the resulting global behavior.

Topics
The topics of interest to SASO include, but are not limited to:

Applications and experiences with self-* systems
Design and engineering for self-* systems (self-organization, self-adaptation, self-management, self-monitoring, self-tuning, self-repair, self-configuration, etc.)
Management and control of self-* systems
Robustness and dependability of self-* systems
Control of emergent properties in self-* systems
Biologically, socially, and physically inspired self-* systems
Theories, frameworks and methods for self-* systems