{"title":"采用运行时监视方法预测服务执行时间","authors":"Xinglong Ju, Youxiang Duan, Cheng Ma, Haiyan Ju","doi":"10.1109/CyberC.2013.43","DOIUrl":null,"url":null,"abstract":"This paper presents a prediction method for Web services execution time based on monitoring service data collected at runtime. The prediction method is called RHDB (recent history data based) method and is based on Pareto's law and statistical regularity. By comparing XM method, mean method, local mean method and RHDB method proposed in this paper, the conclusion is that RHDB method has better prediction result.","PeriodicalId":133756,"journal":{"name":"2013 International Conference on Cyber-Enabled Distributed Computing and Knowledge Discovery","volume":"34 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2013-10-10","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"2","resultStr":"{\"title\":\"Predicting Service Execution Time towards a Runtime Monitoring Approach\",\"authors\":\"Xinglong Ju, Youxiang Duan, Cheng Ma, Haiyan Ju\",\"doi\":\"10.1109/CyberC.2013.43\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"This paper presents a prediction method for Web services execution time based on monitoring service data collected at runtime. The prediction method is called RHDB (recent history data based) method and is based on Pareto's law and statistical regularity. By comparing XM method, mean method, local mean method and RHDB method proposed in this paper, the conclusion is that RHDB method has better prediction result.\",\"PeriodicalId\":133756,\"journal\":{\"name\":\"2013 International Conference on Cyber-Enabled Distributed Computing and Knowledge Discovery\",\"volume\":\"34 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2013-10-10\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"2\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"2013 International Conference on Cyber-Enabled Distributed Computing and Knowledge Discovery\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/CyberC.2013.43\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"2013 International Conference on Cyber-Enabled Distributed Computing and Knowledge Discovery","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/CyberC.2013.43","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 2
摘要
本文提出了一种基于对运行时收集的服务数据进行监控的Web服务执行时间预测方法。该预测方法称为RHDB (recent history data based)方法,基于Pareto定律和统计规律。通过对XM方法、均值方法、局部均值方法和本文提出的RHDB方法进行比较,得出RHDB方法具有较好的预测效果。
Predicting Service Execution Time towards a Runtime Monitoring Approach
This paper presents a prediction method for Web services execution time based on monitoring service data collected at runtime. The prediction method is called RHDB (recent history data based) method and is based on Pareto's law and statistical regularity. By comparing XM method, mean method, local mean method and RHDB method proposed in this paper, the conclusion is that RHDB method has better prediction result.