Gagan Aggarwal, Mayur Datar, Nina Mishra, R. Motwani
{"title":"关于确定配置系统的稳定方法","authors":"Gagan Aggarwal, Mayur Datar, Nina Mishra, R. Motwani","doi":"10.1109/ICAC.2004.40","DOIUrl":null,"url":null,"abstract":"We consider the often error-prone process of initially building and/or reconfiguring a computer system. We formulate an optimization framework for capturing certain aspects of this system (re)configuration process. We describe offline and online algorithms that could aid operators in making decisions for how best to take actions on their computers so as to maintain the health of their systems.","PeriodicalId":345031,"journal":{"name":"International Conference on Autonomic Computing, 2004. Proceedings.","volume":"130 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2004-05-17","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"6","resultStr":"{\"title\":\"On identifying stable ways to configure systems\",\"authors\":\"Gagan Aggarwal, Mayur Datar, Nina Mishra, R. Motwani\",\"doi\":\"10.1109/ICAC.2004.40\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"We consider the often error-prone process of initially building and/or reconfiguring a computer system. We formulate an optimization framework for capturing certain aspects of this system (re)configuration process. We describe offline and online algorithms that could aid operators in making decisions for how best to take actions on their computers so as to maintain the health of their systems.\",\"PeriodicalId\":345031,\"journal\":{\"name\":\"International Conference on Autonomic Computing, 2004. Proceedings.\",\"volume\":\"130 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2004-05-17\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"6\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"International Conference on Autonomic Computing, 2004. Proceedings.\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/ICAC.2004.40\",\"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.2004.40","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
We consider the often error-prone process of initially building and/or reconfiguring a computer system. We formulate an optimization framework for capturing certain aspects of this system (re)configuration process. We describe offline and online algorithms that could aid operators in making decisions for how best to take actions on their computers so as to maintain the health of their systems.
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