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| Title | A new approach for parallel steady-state simulations |
| Creator | Hsieh, Ming-Hsiung 謝明華 |
| Contributor | 資管系 |
| Key Words | Administrative data processing; Curve fitting; Discrete event simulation; Financial data processing; Least squares approximations; Confidence interval (CI); Discrete events; Generalized least square (GLS); Heavy traffics; new approaches; parallel processors; Property (S); Queue waiting; Steady state parameters; Steady-state simulations; Time length; Estimation |
| Date | 2006 |
| Date Issued | 21-Jul-2015 15:05:36 (UTC+8) |
| Summary | We propose a new procedure for building confidence interval estimators of steady-state parameters in discrete event simulations. The procedure uses parallel processors to generate independent replications and constructs the confidence interval estimator by solving a generalized least square problem. The most appealing theoretical feature of the proposed procedure is that the precision of the resulted estimator can be improved by simply increasing the number of processors (or independent replications) while the simulated time length is fixed on an appropriate level on each processor. Experiments conducted on M/M/1 queue waiting time processes in heavy traffic confirm this theoretical property. © 2006 IEEE. |
| Relation | Proceedings - Winter Simulation Conference, 論文編號 4117605, Pages 192-197 |
| Type | conference |
| DOI | http://dx.doi.org/10.1109/WSC.2006.323073 |
| dc.contributor | 資管系 | |
| dc.creator (作者) | Hsieh, Ming-Hsiung | |
| dc.creator (作者) | 謝明華 | zh_TW |
| dc.date (日期) | 2006 | |
| dc.date.accessioned | 21-Jul-2015 15:05:36 (UTC+8) | - |
| dc.date.available | 21-Jul-2015 15:05:36 (UTC+8) | - |
| dc.date.issued (上傳時間) | 21-Jul-2015 15:05:36 (UTC+8) | - |
| dc.identifier.uri (URI) | http://nccur.lib.nccu.edu.tw/handle/140.119/76735 | - |
| dc.description.abstract (摘要) | We propose a new procedure for building confidence interval estimators of steady-state parameters in discrete event simulations. The procedure uses parallel processors to generate independent replications and constructs the confidence interval estimator by solving a generalized least square problem. The most appealing theoretical feature of the proposed procedure is that the precision of the resulted estimator can be improved by simply increasing the number of processors (or independent replications) while the simulated time length is fixed on an appropriate level on each processor. Experiments conducted on M/M/1 queue waiting time processes in heavy traffic confirm this theoretical property. © 2006 IEEE. | |
| dc.format.extent | 176 bytes | - |
| dc.format.mimetype | text/html | - |
| dc.relation (關聯) | Proceedings - Winter Simulation Conference, 論文編號 4117605, Pages 192-197 | |
| dc.subject (關鍵詞) | Administrative data processing; Curve fitting; Discrete event simulation; Financial data processing; Least squares approximations; Confidence interval (CI); Discrete events; Generalized least square (GLS); Heavy traffics; new approaches; parallel processors; Property (S); Queue waiting; Steady state parameters; Steady-state simulations; Time length; Estimation | |
| dc.title (題名) | A new approach for parallel steady-state simulations | |
| dc.type (資料類型) | conference | en |
| dc.identifier.doi (DOI) | 10.1109/WSC.2006.323073 | |
| dc.doi.uri (DOI) | http://dx.doi.org/10.1109/WSC.2006.323073 |