{"title":"A measurement methodology to calibrate analytical models including operating system overhead","authors":"Mariela Curiel, R. Puigjaner","doi":"10.1109/MASCOT.1998.693703","DOIUrl":null,"url":null,"abstract":"The paper focuses on reducing completion time in large simulation models by replacing some of their elements with analytically determined solutions. In particular, we study realistic analytical server models that include operating system overhead. This overhead will be determined by measuring the behaviour of a representative workload. We propose a methodology to reduce the number of measurements based on information provided by an analytical workload model. The calibration of the model is also presented. As workload, the TPC-C benchmark was chosen due to our interest in transactional systems.","PeriodicalId":272859,"journal":{"name":"Proceedings. Sixth International Symposium on Modeling, Analysis and Simulation of Computer and Telecommunication Systems (Cat. No.98TB100247)","volume":"95 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"1998-07-19","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"3","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Proceedings. Sixth International Symposium on Modeling, Analysis and Simulation of Computer and Telecommunication Systems (Cat. No.98TB100247)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/MASCOT.1998.693703","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 3
Abstract
The paper focuses on reducing completion time in large simulation models by replacing some of their elements with analytically determined solutions. In particular, we study realistic analytical server models that include operating system overhead. This overhead will be determined by measuring the behaviour of a representative workload. We propose a methodology to reduce the number of measurements based on information provided by an analytical workload model. The calibration of the model is also presented. As workload, the TPC-C benchmark was chosen due to our interest in transactional systems.
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