{"title":"基于组件的软件系统中的自动性能管理","authors":"A. Diaconescu, Adrian Mos, John Murphy","doi":"10.1109/ICAC.2004.15","DOIUrl":null,"url":null,"abstract":"A framework for automatic performance tuning of component-based enterprise applications is presented. A non-intrusive monitoring and diagnosis module is employed by an application adaptation module that automatically chooses optimal component implementations for different execution contexts. Both modules can optimize their overhead by automatically focusing on the application hot-spots, making the framework suitable for long-running systems. Currently, implementation work is targeted at J2EE systems.","PeriodicalId":345031,"journal":{"name":"International Conference on Autonomic Computing, 2004. Proceedings.","volume":"431 14","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2004-05-17","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"54","resultStr":"{\"title\":\"Automatic performance management in component based software systems\",\"authors\":\"A. Diaconescu, Adrian Mos, John Murphy\",\"doi\":\"10.1109/ICAC.2004.15\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"A framework for automatic performance tuning of component-based enterprise applications is presented. A non-intrusive monitoring and diagnosis module is employed by an application adaptation module that automatically chooses optimal component implementations for different execution contexts. Both modules can optimize their overhead by automatically focusing on the application hot-spots, making the framework suitable for long-running systems. Currently, implementation work is targeted at J2EE systems.\",\"PeriodicalId\":345031,\"journal\":{\"name\":\"International Conference on Autonomic Computing, 2004. Proceedings.\",\"volume\":\"431 14\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2004-05-17\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"54\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"International Conference on Autonomic Computing, 2004. Proceedings.\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/ICAC.2004.15\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"International Conference on Autonomic Computing, 2004. Proceedings.","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/ICAC.2004.15","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
Automatic performance management in component based software systems
A framework for automatic performance tuning of component-based enterprise applications is presented. A non-intrusive monitoring and diagnosis module is employed by an application adaptation module that automatically chooses optimal component implementations for different execution contexts. Both modules can optimize their overhead by automatically focusing on the application hot-spots, making the framework suitable for long-running systems. Currently, implementation work is targeted at J2EE systems.
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