Self-adaptability has been proposed as an e?ective approach to automate the complexity associated with the management of modern-day software systems. Self-adaptability endows a software system with the capability to adapt itself at runtime to deal with changing operating conditions or user requirements. Researchersinself-adaptivesystemsmostlytakeanarchitecture-centricfocus on developing top down solutions. In this approach, the system is monitored to maintain an explicit (architectural) representation of the system and based on a set of (possibly dynamic) goals, the system s structure or behavior is adapted. Researchersofself-organizingsystemsmostlytakeanalgorithmic/organizational focus on developing bottom up solutions. In this approach, the system com- nentsadapttheir localbehaviororpatternsofinteractiontochangingconditions and cooperatively realize system adaptation. Self-organizing approaches are - ten inspired by biological or natural phenomena. With the term self-organizing architectures (SOAR) we refer to an engineering approachfor self-adaptive s- tems that combinesarchitecturalapproachesforself-adaptability withprinciples and techniques from self-organization. Whereas both lines of research have been successful at alleviating some of the associated challenges of constructing self-adaptive systems, persistent ch- lenges remain, in particular for building complex distributed self-adaptive s- tems. Among the hard challenges in the architectural-centric approach are h- dling uncertainty and providing decentralized scalable solutions. Some of the hard challenges in the self-organizing approach are connecting local interactions with global system behavior, and accommodating a disciplined engineering - proach. The awarenessgrows that for building complex distributed self-adaptive systems, principles from both self-adaptive systems and self-organizing systems have to be combined.

Klappentext

This book contains the refereed post-conference proceedings of the First International Self-Organizing Architectures Workshop (SOAR) in Cambridge, UK, in September 2009. The book includes 9 revised papers, which were selected from 17 submissions of the workshop, as well as 4 invited papers. The papers cover a broad range of topics related to self-organizing architectures, including self adaptive architectures, decentralized architectures, nature-inspired approaches, and learning approaches.

Inhalt
Self-adaptive Approaches.- Elements of Self-adaptive Systems A Decentralized Architectural Perspective.- Improving Architecture-Based Self-adaptation Using Preemption.- Weaving the Fabric of the Control Loop through Aspects.- Self-organizing Approaches.- Self-organisation for Survival in Complex Computer Architectures.- Self-organising Sensors for Wide Area Surveillance Using the Max-sum Algorithm.- Multi-policy Optimization in Self-organizing Systems.- A Bio-inspired Algorithm for Energy Optimization in a Self-organizing Data Center.- Towards a Pervasive Infrastructure for Chemical-Inspired Self-organising Services.- Hybrid Approaches.- Self-adaptive Architectures for Autonomic Computational Science.- Modelling the Asynchronous Dynamic Evolution of Architectural Types.- A Self-organizing Architecture for Traffic Management.- On the Modeling, Refinement and Integration of Decentralized Agent Coordination.- A Self-organizing Architecture for Pervasive Ecosystems.