http://www.bibsonomy.org/burst/user/flint63/optimizeBibSonomy BuRST Feed for /user/flint63/optimize2008-08-21T05:22:53+02:00http://www.bibsonomy.org/bibtex/2f1b2276dec7270d5216a08a8e90a2175/flint63flint632008-07-07T13:47:29+02:00admin log optimize development api book software jmx java v0805 <span style="color:#555555;">Lars <a href="http://www.bibsonomy.org/author/Wunderlich">Wunderlich</a> </span><em>Entwickler.press, </em><em>Frankfurt am Main, </em>(<em>2006</em>)Mon Jul 07 13:47:29 CEST 2008Frankfurt am Main{Managing Java: Operating, Monitoring, Performancetests}2006admin log optimize development api book software jmx java v0805 Neustarts, instabile Systeme und häufige Downtimes sind lästig und teuer. Wie verhindert man, dass Software im produktiven Betrieb krankt? Was können Entwickler und Architekten schon bei der Entwicklung tun, um stabile Software zu schaffen? Hauptthema des Buches ist JMX (Java Management eXtensions), mit dem die Überwachung, Konfiguration und Messung von Java-Anwendungen enorm erleichtert wird.http://www.bibsonomy.org/bibtex/2e2faea0680ff05fe60630615f6131cb9/flint63flint632008-07-07T13:47:29+02:00v0805 springer paper requirements development optimize software <span style="color:#555555;">Niklas <a href="http://www.bibsonomy.org/author/Schlimm">Schlimm</a> and Mirko <a href="http://www.bibsonomy.org/author/Novakovic">Novakovic</a> and Robert <a href="http://www.bibsonomy.org/author/Spielmann">Spielmann</a> and Tobias <a href="http://www.bibsonomy.org/author/Knierim">Knierim</a> </span><em>Informatik-Spektrum</em><em>30(4):251-258</em>(<em>2007</em>)Mon Jul 07 13:47:29 CEST 2008Informatik-Spektrum4251-258{Performance-Analyse und -Optimierung in der Softwareentwicklung}302007v0805 springer paper requirements development optimize software Nicht-funktionale Anforderungen an ein Softwaresystem beschreiben Aspekte, die nicht direkt die Funktionalität, wie sie der Benutzer sieht, betreffen.http://www.bibsonomy.org/bibtex/2013ac96f819652db89dd8668c84867a4/flint63flint632008-07-07T13:47:29+02:00ai knowledge algorithm optimize paper ieee agent processing v0805 management software crisis <span style="color:#555555;">Joseph B. <a href="http://www.bibsonomy.org/author/Kopena">Kopena</a> and Evan A. <a href="http://www.bibsonomy.org/author/Sultanik">Sultanik</a> and Robert N. <a href="http://www.bibsonomy.org/author/Lass">Lass</a> and Duc N. <a href="http://www.bibsonomy.org/author/Nguyen">Nguyen</a> and Christopher J. <a href="http://www.bibsonomy.org/author/Dugan">Dugan</a> and Pragnesh J. <a href="http://www.bibsonomy.org/author/Modi">Modi</a> and William C. <a href="http://www.bibsonomy.org/author/Regli">Regli</a> </span><em>Internet Computing</em><em>12(1):45-47</em>(<em>2008</em>)Mon Jul 07 13:47:29 CEST 2008Internet Computing145-47Distributed Coordination of First Responders122008ai knowledge algorithm optimize paper ieee agent processing v0805 management software crisis In a disaster scenario, first responders must be able to perform multiple functions in a coordinated way. At all levels of the task---from integrating heterogeneous systems to addressing response tasks and allocating resources---responders must be able to make decisions in a globally optimal fashion. Automated coordination mechanisms can help, but they still face several challenges that researchers must address to make them effective and useful. This article discusses the application of distributed constraint optimization in disaster management coordination.