LEADER 05770nam 22007935 450 001 9910483505403321 005 20251226203054.0 010 $a1-280-38797-1 010 $a9786613565891 010 $a3-642-14412-8 024 7 $a10.1007/978-3-642-14412-7 035 $a(CKB)2550000000015603 035 $a(SSID)ssj0000446770 035 $a(PQKBManifestationID)11267873 035 $a(PQKBTitleCode)TC0000446770 035 $a(PQKBWorkID)10497041 035 $a(PQKB)11582067 035 $a(DE-He213)978-3-642-14412-7 035 $a(MiAaPQ)EBC3065559 035 $a(PPN)149072759 035 $a(BIP)31291401 035 $a(EXLCZ)992550000000015603 100 $a20100717d2010 u| 0 101 0 $aeng 135 $aurnn#008mamaa 181 $ctxt 182 $cc 183 $acr 200 10$aSelf-Organizing Architectures $eFirst International Workshop, SOAR 2009, Cambridge, UK, September 14, 2009, Revised Selected and Invited Papers /$fedited by Danny Weyns, Sam Malek, Rogério de Lemos, Jesper Andersson 205 $a1st ed. 2010. 210 1$aBerlin, Heidelberg :$cSpringer Berlin Heidelberg :$cImprint: Springer,$d2010. 215 $a1 online resource (X, 301 p. 110 illus.) 225 1 $aLecture Notes in Computer Science,$x1611-3349 ;$v6090 300 $a"SOAR 2009 was organized in conjunction with the Working IEEE/IFIP Conference on Software Architecture (WICSA) and the European Conference on Softward Architecture (ECSA), Cambridge, UK, September 14, 2009"--P. [vii]. 311 08$a3-642-14411-X 320 $aIncludes bibliographical references and index. 327 $aSelf-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. 330 $aSelf-adaptability has been proposed as an e'ective approach to automate the complexity associated with the management of modern-day software systems. Self-adaptability endows a software system with the capability to adapt itself at runtime to deal with changing operating conditions or user requirements. Researchersinself-adaptivesystemsmostlytakeanarchitecture-centricfocus on developing top-down solutions. In this approach, the system is monitored to maintain an explicit (architectural) representation of the system and based on a set of (possibly dynamic) goals, the system's structure or behavior is adapted. Researchersofself-organizingsystemsmostlytakeanalgorithmic/organizational focus on developing bottom-up solutions. In this approach, the system com- nentsadapttheir localbehaviororpatternsofinteractiontochangingconditions and cooperatively realize system adaptation. Self-organizing approaches are - ten inspired by biological or natural phenomena. With the term "self-organizing architectures" (SOAR) we refer to an engineering approachfor self-adaptive s- tems that combinesarchitecturalapproachesforself-adaptability withprinciples and techniques from self-organization. Whereas both lines of research have been successful at alleviating some of the associated challenges of constructing self-adaptive systems, persistent ch- lenges remain, in particular for building complex distributed self-adaptive s- tems. Among the hard challenges in the architectural-centric approach are h- dling uncertainty and providing decentralized scalable solutions. Some of the hard challenges in the self-organizing approach are connecting local interactions with global system behavior, and accommodating a disciplined engineering - proach. The awarenessgrows that for building complex distributed self-adaptive systems, principles from both self-adaptive systems and self-organizing systems have to be combined. 410 0$aLecture Notes in Computer Science,$x1611-3349 ;$v6090 606 $aSoftware engineering 606 $aComputer networks 606 $aComputer programming 606 $aArtificial intelligence 606 $aApplication software 606 $aSoftware Engineering 606 $aComputer Communication Networks 606 $aProgramming Techniques 606 $aArtificial Intelligence 606 $aComputer and Information Systems Applications 615 0$aSoftware engineering. 615 0$aComputer networks. 615 0$aComputer programming. 615 0$aArtificial intelligence. 615 0$aApplication software. 615 14$aSoftware Engineering. 615 24$aComputer Communication Networks. 615 24$aProgramming Techniques. 615 24$aArtificial Intelligence. 615 24$aComputer and Information Systems Applications. 676 $a003.7 701 $aWeyns$b Danny$0867840 712 12$aWICSA/ECSA 2009$f(2009 :$eUniversity of Cambridge) 801 0$bMiAaPQ 801 1$bMiAaPQ 801 2$bMiAaPQ 906 $aBOOK 912 $a9910483505403321 996 $aSelf-organizing architectures$94192047 997 $aUNINA