{"title":"Constructing an Autonomic Computing Infrastructure Using Cougaar","authors":"Michael Jarrett, R. Seviora","doi":"10.1109/EASE.2006.5","DOIUrl":null,"url":null,"abstract":"Autonomic computing addresses increasing complexity in computer-based systems by giving these systems the ability to automatically manage many aspects of their own operation. While many aspects of self-management have been examined in isolation, there is a notable lack of an effective autonomic computing infrastructure publicly available with which these techniques could be integrated, compared, and evaluated. We describe an autonomic computing architecture and accompanying implementation infrastructure constructed on top of the cognitive agent architecture, showing that many of its features map naturally to autonomic computing concepts. By implementing a common infrastructure and providing sample applications, autonomic computing research will be better prepared to develop and evaluate self-management techniques","PeriodicalId":202442,"journal":{"name":"Third IEEE International Workshop on Engineering of Autonomic & Autonomous Systems (EASE'06)","volume":"40 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2006-03-27","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"33","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Third IEEE International Workshop on Engineering of Autonomic & Autonomous Systems (EASE'06)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/EASE.2006.5","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 33
Abstract
Autonomic computing addresses increasing complexity in computer-based systems by giving these systems the ability to automatically manage many aspects of their own operation. While many aspects of self-management have been examined in isolation, there is a notable lack of an effective autonomic computing infrastructure publicly available with which these techniques could be integrated, compared, and evaluated. We describe an autonomic computing architecture and accompanying implementation infrastructure constructed on top of the cognitive agent architecture, showing that many of its features map naturally to autonomic computing concepts. By implementing a common infrastructure and providing sample applications, autonomic computing research will be better prepared to develop and evaluate self-management techniques