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    政大機構典藏 > 理學院 > 應用數學系 > 期刊論文 >  Item 140.119/63787
    Please use this identifier to cite or link to this item: http://nccur.lib.nccu.edu.tw/handle/140.119/63787


    Title: Estimating the Loss Probability under Heavy Traffic Conditions
    Authors: 陸行
    Luh, Hsing Paul
    Wang, Chia-Hung
    Contributors: 應數系
    Keywords: Asymptotic analysis;Multiple-server queue;Loss probability;Heavy traffic
    Date: 2012.06
    Issue Date: 2014-02-11 14:02:48 (UTC+8)
    Abstract: 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.
    Relation: Computers and Mathematics with Applications, 64(5), 1352-1363
    Data Type: article
    DOI 連結: http://dx.doi.org/10.1016/j.camwa.2012.03.081
    DOI: 10.1016/j.camwa.2012.03.081
    Appears in Collections:[應用數學系] 期刊論文

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