English  |  正體中文  |  简体中文  |  Post-Print筆數 : 27 |  Items with full text/Total items : 109948/140897 (78%)
Visitors : 46106714      Online Users : 1385
RC Version 6.0 © Powered By DSPACE, MIT. Enhanced by NTU Library IR team.
Scope Tips:
  • please add "double quotation mark" for query phrases to get precise results
  • please goto advance search for comprehansive author search
  • Adv. Search
    HomeLoginUploadHelpAboutAdminister Goto mobile version
    政大機構典藏 > 理學院 > 應用數學系 > 學位論文 >  Item 140.119/139992
    Please use this identifier to cite or link to this item: https://nccur.lib.nccu.edu.tw/handle/140.119/139992


    Title: 不耐煩顧客的M/M/S再嘗試模型中邊際機率與條件變異數的關係
    Relations between marginal probabilities and conditonal variances for the M/M/S retrial queueing models with impatient customers
    Authors: 宋沛峻
    Song, Pei-Chun
    Contributors: 陸行
    Luh, Hsing
    宋沛峻
    Song, Pei-Chun
    Keywords: M/M/S再嘗試模型
    不耐煩顧客
    條件變異數
    平均排隊長度
    閒置機率
    M/M/S retrial queues
    Impatient customers
    Conditional variance
    Mean queue length
    Idle probability
    Date: 2022
    Issue Date: 2022-05-02 15:02:47 (UTC+8)
    Abstract: 在現實生活中,等候模型被廣泛地使用於許多領域之中。在網路的問題中,我們可以將服務員視為伺服器,顧客則視為連接至伺服器的使用者。在實際的情形中,當使用者連不上伺服器時,通常會選擇重新連接伺服器,當使用者連續失敗幾次則可能選擇離開。這時候顧客便具有再嘗試且不耐煩的特性,所以我們便可以將不耐煩顧客的 M/M/S 再嘗試模型套用到網路的問題當中。在本文中,我們基於不耐煩顧客的 M/M/S 再嘗試模型的矩陣解來描述模型,並且導入條件機率及條件期望值的概念進行運算。最後我們給出幾條有關排隊人數或服務員忙碌人數的期望值及條件變異數的關係式和系統閒置機率的上下界,以利更好地刻畫整個網路的使用情形。
    Queueing models has been widely used in many applications. In the communication network , we consider the user who tries to connect to a website or a server as a customer. Users in real world may retry to connect to a server when their connection failed. Moreover, when they failed to connect to a server several times, they will give up retrying to connect. Therefore, we can apply the M/M/S retrial queues with impatient customers to this problem. In the thesis, we describe the M/ M/S retrial queues with impatient customers by its infinitesemial generator. Then we apply the geometric form for this model and consider the conditional probability and the conditional expectation to provide some relations between the expectation of the queue length, the expectation of number of busy servers, and the variance of the queue length when all servers are occupied. Also, we provide bounds for the probability that the system is idle. If we want to estimate some system performance, these relations can let us easily to transform some ariables to other variables we needed.
    Reference: [1] J. Kim, B. Kim. Exact tail asymptotics for the M/M/m retrial queue with nonpersistent customers. Operations Research Letters, 40:537– 540, 11 2012.
    [2] Q. Zhao, B. Liu, X. Wang. Tail asymptotics for M/M/c retrial queues with non-persistent
    customers. Operational Research, 12:173–188, 2012.
    [3] N. K. Boots, H. Tijms. An M/M/c queue with impatient customers. Top, 7:213–220, 1999.
    [4] N. K. Boots, H. Tijms. A multiserver queueing system with impatient customers. Management Science, 45(3):444–448, 1999.
    [5] B.D. Choi, Y.C. Kim, Y.W. Lee. The M/M/c retrial queue with geometric loss and feedback. Computers & Mathematics with Applications, 36(6):41–52, 1998.
    [6] D. Christian. Stationary queueing models with aspects of customer impatience and retrial behaviour. diploma thesis, Vienna University of Technology, January 2008.
    [7] M. Jose, D. Benlloch. Generalized truncated methods for an efficient solution of retrial systems. Mathematical Problems in Engineering, 2008.
    [8] G.I. Falin, J.G.C. Templeton. Retrial Queues. Chapman & Hall, 1997.
    [9] H. Luh, P.C. Song. Matrix analytic solutions for M/M/S retrial queues with impatient customers. In Queueing Theory and Network Applications: 14th International Conference, QTNA 2019, Ghent, Belgium, August 27– 29, 2019, Proceedings, page 16– 33, Berlin,
    Heidelberg, 2019. Springer-Verlag.
    [10] J. Kim, J. Kim. Waiting time distribution in the M/M/m retrial queue. Bulletin of the Korean Mathematical Society, 50(5):1659– 1671, 2013.
    [11] J. Zhang, T. V. Do, N. H. Do. An enhanced algorithm to solve multiserver retrial queueing systems with impatient customers. Computers & Industrial Engineering, 65(4):719–728,
    2013.
    Description: 碩士
    國立政治大學
    應用數學系
    108751001
    Source URI: http://thesis.lib.nccu.edu.tw/record/#G0108751001
    Data Type: thesis
    DOI: 10.6814/NCCU202200400
    Appears in Collections:[應用數學系] 學位論文

    Files in This Item:

    File Description SizeFormat
    100101.pdf523KbAdobe PDF2125View/Open


    All items in 政大典藏 are protected by copyright, with all rights reserved.


    社群 sharing

    著作權政策宣告 Copyright Announcement
    1.本網站之數位內容為國立政治大學所收錄之機構典藏,無償提供學術研究與公眾教育等公益性使用,惟仍請適度,合理使用本網站之內容,以尊重著作權人之權益。商業上之利用,則請先取得著作權人之授權。
    The digital content of this website is part of National Chengchi University Institutional Repository. It provides free access to academic research and public education for non-commercial use. Please utilize it in a proper and reasonable manner and respect the rights of copyright owners. For commercial use, please obtain authorization from the copyright owner in advance.

    2.本網站之製作,已盡力防止侵害著作權人之權益,如仍發現本網站之數位內容有侵害著作權人權益情事者,請權利人通知本網站維護人員(nccur@nccu.edu.tw),維護人員將立即採取移除該數位著作等補救措施。
    NCCU Institutional Repository is made to protect the interests of copyright owners. If you believe that any material on the website infringes copyright, please contact our staff(nccur@nccu.edu.tw). We will remove the work from the repository and investigate your claim.
    DSpace Software Copyright © 2002-2004  MIT &  Hewlett-Packard  /   Enhanced by   NTU Library IR team Copyright ©   - Feedback