Self-Organizing Architectures : First International Workshop, SOAR 2009, Cambridge, UK, September 14, 2009, Revised Selected and Invited Papers / / edited by Danny Weyns, Sam Malek, Rogério de Lemos, Jesper Andersson

• Record Nr.: UNINA9910483505403321
• Pubbl/distr/stampa: Berlin, Heidelberg : , : Springer Berlin Heidelberg : , : Imprint : Springer, , 2010
• ISBN: 1-280-38797-1; 9786613565891; 3-642-14412-8
• Edizione: [1st ed. 2010.]
• Descrizione fisica: 1 online resource (X, 301 p. 110 illus.)
• Collana: Lecture Notes in Computer Science, , 1611-3349 ; ; 6090
• Altri autori (Persone): WeynsDanny
• Disciplina: 003.7
• Soggetti: Software engineering; Computer networks; Computer programming; Artificial intelligence; Application software; Software Engineering; Computer Communication Networks; Programming Techniques; Artificial Intelligence; Computer and Information Systems Applications
• Lingua di pubblicazione: Inglese
• Formato: Materiale a stampa
• Livello bibliografico: Monografia
• Note generali: "SOAR 2009 was organized in conjunction with the Working IEEE/IFIP Conference on Software Architecture (WICSA) and the European Conference on Softward Architecture (ECSA), Cambridge, UK, September 14, 2009"--P. [vii].
• Nota di bibliografia: Includes bibliographical references and index.
• Nota di contenuto: 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.
• Sommario/riassunto: 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.