Li Zhang, Cathy H. Xia, M. Squillante, W. N. Mills
{"title":"Workload service requirements analysis: a queueing network optimization approach","authors":"Li Zhang, Cathy H. Xia, M. Squillante, W. N. Mills","doi":"10.1109/MASCOT.2002.1167057","DOIUrl":null,"url":null,"abstract":"The answers to many important performance related questions with multiclass queueing models depends upon having estimates for the service times of different classes of jobs. We present a general approach to infer the per-class service times at different servers in an environment where only server throughput, utilization and per-class response time measurements are available. The per-class service times are solutions to an optimization problem with queueing-theoretic formulas in the objective and constraints. We further study the impact of the variance of service times on the variance of response times. A few case studies are presented to demonstrate the power of our approach.","PeriodicalId":384900,"journal":{"name":"Proceedings. 10th IEEE International Symposium on Modeling, Analysis and Simulation of Computer and Telecommunications Systems","volume":"4 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2002-10-11","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"45","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Proceedings. 10th IEEE International Symposium on Modeling, Analysis and Simulation of Computer and Telecommunications Systems","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/MASCOT.2002.1167057","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 45
Abstract
The answers to many important performance related questions with multiclass queueing models depends upon having estimates for the service times of different classes of jobs. We present a general approach to infer the per-class service times at different servers in an environment where only server throughput, utilization and per-class response time measurements are available. The per-class service times are solutions to an optimization problem with queueing-theoretic formulas in the objective and constraints. We further study the impact of the variance of service times on the variance of response times. A few case studies are presented to demonstrate the power of our approach.