{"title":"用于自我管理分布式计算系统的基于控制的框架","authors":"S. Abdelwahed, Nagarajan Kandasamy, S. Neema","doi":"10.1145/1075405.1075406","DOIUrl":null,"url":null,"abstract":"This paper describes an online control framework to design self-managing distributed computing systems that continually optimize their performance in response to changing computing demands and environmental conditions. An online control technique is used in conjunction with predictive filters to tune the performance of individual system components based on their forecast behavior. In a distributed setting, a global controller is used to manage the interaction between components such that overall system requirements are satisfied.","PeriodicalId":326554,"journal":{"name":"Workshop on Self-Healing Systems","volume":"30 7","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2004-10-31","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"45","resultStr":"{\"title\":\"A control-based framework for self-managing distributed computing systems\",\"authors\":\"S. Abdelwahed, Nagarajan Kandasamy, S. Neema\",\"doi\":\"10.1145/1075405.1075406\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"This paper describes an online control framework to design self-managing distributed computing systems that continually optimize their performance in response to changing computing demands and environmental conditions. An online control technique is used in conjunction with predictive filters to tune the performance of individual system components based on their forecast behavior. In a distributed setting, a global controller is used to manage the interaction between components such that overall system requirements are satisfied.\",\"PeriodicalId\":326554,\"journal\":{\"name\":\"Workshop on Self-Healing Systems\",\"volume\":\"30 7\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2004-10-31\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"45\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"Workshop on Self-Healing Systems\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1145/1075405.1075406\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"Workshop on Self-Healing Systems","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1145/1075405.1075406","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
A control-based framework for self-managing distributed computing systems
This paper describes an online control framework to design self-managing distributed computing systems that continually optimize their performance in response to changing computing demands and environmental conditions. An online control technique is used in conjunction with predictive filters to tune the performance of individual system components based on their forecast behavior. In a distributed setting, a global controller is used to manage the interaction between components such that overall system requirements are satisfied.
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