International Conference on Autonomic Computing, 2004. Proceedings.最新文献

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Self-adaptation in a middleware for processing data streams 用于处理数据流的中间件中的自适应
International Conference on Autonomic Computing, 2004. Proceedings. Pub Date : 2004-05-17 DOI: 10.1109/ICAC.2004.54
Liang Chen, G. Agrawal
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引用次数: 3
Failure diagnosis using decision trees 使用决策树进行故障诊断
International Conference on Autonomic Computing, 2004. Proceedings. Pub Date : 2004-05-17 DOI: 10.1109/ICAC.2004.31
Mike Y. Chen, A. Zheng, J. Lloyd, Michael I. Jordan, E. Brewer
{"title":"Failure diagnosis using decision trees","authors":"Mike Y. Chen, A. Zheng, J. Lloyd, Michael I. Jordan, E. Brewer","doi":"10.1109/ICAC.2004.31","DOIUrl":"https://doi.org/10.1109/ICAC.2004.31","url":null,"abstract":"We present a decision tree learning approach to diagnosing failures in large Internet sites. We record runtime properties of each request and apply automated machine learning and data mining techniques to identify the causes of failures. We train decision trees on the request traces from time periods in which user-visible failures are present. Paths through the tree are ranked according to their degree of correlation with failure, and nodes are merged according to the observed partial order of system components. We evaluate this approach using actual failures from eBay, and find that, among hundreds of potential causes, the algorithm successfully identifies 13 out of 14 true causes of failure, along with 2 false positives. We discuss some results in applying simplified decision trees on eBay's production site for several months. In addition, we give a cost-benefit analysis of manual vs. automated diagnosis systems. Our contributions include the statistical learning approach, the adaptation of decision trees to the context of failure diagnosis, and the deployment and evaluation of our tools on a high-volume production service.","PeriodicalId":345031,"journal":{"name":"International Conference on Autonomic Computing, 2004. Proceedings.","volume":"1 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2004-05-17","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"130611784","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
引用次数: 422
The Component Balancer: optimization of component-based applications 组件平衡器:基于组件的应用程序的优化
International Conference on Autonomic Computing, 2004. Proceedings. Pub Date : 2004-05-17 DOI: 10.1109/ICAC.2004.59
J. Fontana
{"title":"The Component Balancer: optimization of component-based applications","authors":"J. Fontana","doi":"10.1109/ICAC.2004.59","DOIUrl":"https://doi.org/10.1109/ICAC.2004.59","url":null,"abstract":"The Component Balancer establishes and maintains response time goals for selected business logic contained in methods in component-based applications without the need to modify application code. The premise for this optimization is that meaningful business logic in component methods can be driven to response time goals by controlling the calling rate of other methods. For example, if two methods are accessing the same database, one method's response time can be improved if the other method is selected to withstand longer delays.","PeriodicalId":345031,"journal":{"name":"International Conference on Autonomic Computing, 2004. Proceedings.","volume":"30 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2004-05-17","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"131087440","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
引用次数: 1
Enabling automatic workload management in Linux 在Linux中启用自动工作负载管理
International Conference on Autonomic Computing, 2004. Proceedings. Pub Date : 2004-05-17 DOI: 10.1109/ICAC.2004.30
H. Franke, S. Nagar, C. Seetharaman, Vivek Kashyap, Haoqiang Zheng, J. Kong
{"title":"Enabling automatic workload management in Linux","authors":"H. Franke, S. Nagar, C. Seetharaman, Vivek Kashyap, Haoqiang Zheng, J. Kong","doi":"10.1109/ICAC.2004.30","DOIUrl":"https://doi.org/10.1109/ICAC.2004.30","url":null,"abstract":"Complexity reduction in workload management is driving the development of goal-oriented workload managers (WLMs). Simultaneously, server consolidation of workloads with dynamically changing resource demands calls for these WLMs to be increasingly efficient in managing resources. We propose the class-based kernel resource management (CKRM) framework, implemented in Linux, for operating systems to these requirements.","PeriodicalId":345031,"journal":{"name":"International Conference on Autonomic Computing, 2004. Proceedings.","volume":"62 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2004-05-17","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"126711450","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
引用次数: 1
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