{"title":"主动检测和分析多层系统响应时间变化的系统方法","authors":"A. Pandey, Pragya Pandey","doi":"10.1109/INDICON.2016.7838860","DOIUrl":null,"url":null,"abstract":"Early detection of any exceptional behavior coupled with comprehensive analysis of related data can significantly reduce performance bottlenecks and outages in any system. Collating the relevant data points and establishing correlation between them to provide an abstract view of potential hotspots has been a challenge in any large multi-tier systems. This paper describes a framework that shall enable direct and indirect correlation of the data points and transform them into a model that can be indicative of any early warning signals. Effective implementation of this framework can define success of any large system.","PeriodicalId":283953,"journal":{"name":"2016 IEEE Annual India Conference (INDICON)","volume":"2 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2016-12-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"Systematic approach to proactive detection & analysis of response time variations in multi-tier systems\",\"authors\":\"A. Pandey, Pragya Pandey\",\"doi\":\"10.1109/INDICON.2016.7838860\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"Early detection of any exceptional behavior coupled with comprehensive analysis of related data can significantly reduce performance bottlenecks and outages in any system. Collating the relevant data points and establishing correlation between them to provide an abstract view of potential hotspots has been a challenge in any large multi-tier systems. This paper describes a framework that shall enable direct and indirect correlation of the data points and transform them into a model that can be indicative of any early warning signals. Effective implementation of this framework can define success of any large system.\",\"PeriodicalId\":283953,\"journal\":{\"name\":\"2016 IEEE Annual India Conference (INDICON)\",\"volume\":\"2 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2016-12-01\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"2016 IEEE Annual India Conference (INDICON)\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/INDICON.2016.7838860\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"2016 IEEE Annual India Conference (INDICON)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/INDICON.2016.7838860","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
Systematic approach to proactive detection & analysis of response time variations in multi-tier systems
Early detection of any exceptional behavior coupled with comprehensive analysis of related data can significantly reduce performance bottlenecks and outages in any system. Collating the relevant data points and establishing correlation between them to provide an abstract view of potential hotspots has been a challenge in any large multi-tier systems. This paper describes a framework that shall enable direct and indirect correlation of the data points and transform them into a model that can be indicative of any early warning signals. Effective implementation of this framework can define success of any large system.
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