{"title":"多服务器系统上的事务特征","authors":"D. Cavendish, Y. Oie, Hiroshi Koide, M. Gerla","doi":"10.1109/INCOS.2009.62","DOIUrl":null,"url":null,"abstract":"In this paper, we demonstrate how to characterize transactions executed on multi-server systems. The characterization is performed with the help of readily available open source components, and is used to build a Mean Value Analysis model in order to estimate transaction response times for arbitrary loads, as well as system capacity. Although an E-Commerce system is used, the characterization method described is applicable to any multi-server system.","PeriodicalId":145328,"journal":{"name":"2009 International Conference on Intelligent Networking and Collaborative Systems","volume":"33 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2009-11-04","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"Characterizing Transactions on Multi-server Systems\",\"authors\":\"D. Cavendish, Y. Oie, Hiroshi Koide, M. Gerla\",\"doi\":\"10.1109/INCOS.2009.62\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"In this paper, we demonstrate how to characterize transactions executed on multi-server systems. The characterization is performed with the help of readily available open source components, and is used to build a Mean Value Analysis model in order to estimate transaction response times for arbitrary loads, as well as system capacity. Although an E-Commerce system is used, the characterization method described is applicable to any multi-server system.\",\"PeriodicalId\":145328,\"journal\":{\"name\":\"2009 International Conference on Intelligent Networking and Collaborative Systems\",\"volume\":\"33 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2009-11-04\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"2009 International Conference on Intelligent Networking and Collaborative Systems\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/INCOS.2009.62\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"2009 International Conference on Intelligent Networking and Collaborative Systems","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/INCOS.2009.62","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 0
摘要
在本文中,我们将演示如何描述在多服务器系统上执行的事务。特性描述是在随时可用的开源组件的帮助下执行的,并用于构建Mean Value Analysis模型,以便估计任意负载的事务响应时间以及系统容量。虽然使用的是电子商务系统,但所描述的表征方法适用于任何多服务器系统。
Characterizing Transactions on Multi-server Systems
In this paper, we demonstrate how to characterize transactions executed on multi-server systems. The characterization is performed with the help of readily available open source components, and is used to build a Mean Value Analysis model in order to estimate transaction response times for arbitrary loads, as well as system capacity. Although an E-Commerce system is used, the characterization method described is applicable to any multi-server system.