Please use this identifier to cite or link to this item:
https://ah.lib.nccu.edu.tw/handle/140.119/63787
題名: | Estimating the Loss Probability under Heavy Traffic Conditions | 作者: | 陸行 Luh, Hsing Paul Wang, Chia-Hung |
貢獻者: | 應數系 | 關鍵詞: | Asymptotic analysis; Multiple-server queue; Loss probability; Heavy traffic | 日期: | 2012 | 上傳時間: | 11-二月-2014 | 摘要: | This paper studies a multiple-server queueing model under the assumptions of renewal arrival processes and limited buffer size. An approximation for the loss probability and the asymptotic behavior are studied under the heavy traffic conditions. We present an asymptotic analysis of the loss probability when both the arrival rate and number of servers approach infinity. In illustrative examples, the loss probabilities are estimated with heavy traffic under three common distributions of inter-arrival times: exponential, deterministic and Erlang-r distributions, respectively. | 關聯: | Computers and Mathematics with Applications, 64(5), 1352-1363 | 資料類型: | article | DOI: | http://dx.doi.org/10.1016/j.camwa.2012.03.081 |
Appears in Collections: | 期刊論文 |
Files in This Item:
File | Description | Size | Format | |
---|---|---|---|---|
1352-1363.pdf | 310.19 kB | Adobe PDF2 | View/Open |
Items in DSpace are protected by copyright, with all rights reserved, unless otherwise indicated.