{"title":"确保系统在降级时性能稳定","authors":"Alberto Avritzer, A. Bondi, E. Weyuker","doi":"10.1145/1071021.1071026","DOIUrl":null,"url":null,"abstract":"A new approach that is useful in identifying and eliminating performance degradation occurring in aging software is proposed. A customer-affecting metric is used to initiate the restoration of such a system to full capacity. A case study is described in which, by simulating an industrial software system, we are able to show that by monitoring a customer-affecting metric and frequently comparing its degradation to the performance objective, we can ensure system stability at a very low cost.","PeriodicalId":235512,"journal":{"name":"Workshop on Software and Performance","volume":"30 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2005-07-12","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"24","resultStr":"{\"title\":\"Ensuring stable performance for systems that degrade\",\"authors\":\"Alberto Avritzer, A. Bondi, E. Weyuker\",\"doi\":\"10.1145/1071021.1071026\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"A new approach that is useful in identifying and eliminating performance degradation occurring in aging software is proposed. A customer-affecting metric is used to initiate the restoration of such a system to full capacity. A case study is described in which, by simulating an industrial software system, we are able to show that by monitoring a customer-affecting metric and frequently comparing its degradation to the performance objective, we can ensure system stability at a very low cost.\",\"PeriodicalId\":235512,\"journal\":{\"name\":\"Workshop on Software and Performance\",\"volume\":\"30 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2005-07-12\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"24\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"Workshop on Software and Performance\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1145/1071021.1071026\",\"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 Software and Performance","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1145/1071021.1071026","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
Ensuring stable performance for systems that degrade
A new approach that is useful in identifying and eliminating performance degradation occurring in aging software is proposed. A customer-affecting metric is used to initiate the restoration of such a system to full capacity. A case study is described in which, by simulating an industrial software system, we are able to show that by monitoring a customer-affecting metric and frequently comparing its degradation to the performance objective, we can ensure system stability at a very low cost.
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