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臺灣博碩士論文加值系統

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研究生:王心怡
論文名稱:計算PH/PH/1/N佇列機率分配之研究
論文名稱(外文):A New Approach to Analyze Stationary Probability Distributions of a PH/PH/1/N Queue
指導教授:陸行陸行引用關係
學位類別:碩士
校院名稱:國立政治大學
系所名稱:應用數學系
學門:數學及統計學門
學類:數學學類
論文種類:學術論文
論文出版年:2002
畢業學年度:90
語文別:中文
中文關鍵詞:PH/PH/1/N佇列機率馬可夫過程
外文關鍵詞:PH/PH/1/Nstationary probabilityproduct form
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在這一篇論文裡, 我們討論開放式有限容量等候系統。其中到達時間和服務時間的機率分配都是 Phase type 分配, 我們發現到達時間和服務時間的機率分配滿足一個方程式。 然後根據平衡方程式,我們推導出非邊界狀態的穩定機率可以被表示成 product-form 的線性組合, 而每個 product-form 可以用聯立方程組的根來構成。利用非邊界狀態的穩定機率, 我們可以求出邊界狀態的機率。
此外,我們介紹廣義逆矩陣來解出這個複雜的數值問題。
再者,我們建立一個求穩定機率的演算過程。
利用這個演算方法, 可以簡化求穩定機率的複雜度。
最後我們利用這個演算法處理四個例子。

In this thesis, we analyze the PH\PH\1\N open queueing system with finite capacity, N. We find two properties which show that the Laplace transforms of interarrival and service times distributions satisfy an equation of a simple form. According to the state balance equations, we present that the stationary probabilities on the unboundary states can be written as a linear combination of product-forms. Each component of these products can be expressed in terms of roots of the system of equations. Instead of solving complicated numerical problem, we introduced the pseudo-inverse to find the solution. Furthermore, we establish an algorithm for solving
stationary probabilities and calculating the performance of
PH\PH\1\N system which reduces the computational complexity.
Finally, we give four examples solved by the algorithm.

1 Introduction 1
1.1 The Motivation . . . . .. . . . . . . . . . . . . . . . 1
1.2 Literature Review . . . . . . . . . . . . . . . . . . . 3
1.3 Organization of the Thesis . . . . . . . . . .. . . . . 4
2 Analysis of PH/PH/1/N Systems 5
2.1 Formulation of the Model as a Continuous-time Markov Chain . . . . . .. . . . . . . . . . .. . . . . . . . . . 5
2.1.1 Interarrival and Service Times. . . . . . . . . . . . 5
2.1.2 Assumptions and Problem Description . . . . . . . . . 6
2.1.3 The State Balance Equations . . . . . . . . . . . . . 6
2.2 Analysis of Equations . . . . . . . . . . . . . . . . . 8
2.2.1 Separation of Variables Technique . . . . . . . . . . 8
2.2.2 Propositions . . . . . . . . . . . . . . . . . . . . 10
3 Steady-state Probabilities of PH/PH/1/N Systems 15
3.1 The Model with Matrix Forms . . . . . . . . . . . . . 15
3.1.1 Phase Type Distribution . . . . . . . . . . . . . . 15
3.1.2 Transition Rate Matrix . . . . . .. . . . . . . .. . 16
3.1.3 Balance Equations . . . . . . . . . . . .. . . . . . 19
3.2 Product Form Solutions . . . . . . . . . . . . . . . . 19
3.3 The Boundary Probabilities . . . . . . . . . . . . . . 20
4 The Numerical Method 22
4.1 The System of Linear Equations . . . . . . . . . . . . 22
4.2 The Least Square Algorithm . . . . . . . . . . . . . . 23
5 The Relevant Information of the System 25
5.1 The System-size Probability . . . . . . .. . . . . . . 25
5.2 A Summary of the Algorithm . . . . . . . . . . . . . . 26
6 Examples 27
6.1 Examples of M/M/1/7 System . . . . . . . . . . . . . . 27
6.1.1 Example of Case 1 . . . . . . . . . . . . . . . . . 27
6.1.2 Example of Case 2 . . . . . . . . . . . . . . . . . 30
6.2 Example of E2/E2/1/4 System . . . . . . . . . . . . . 32
6.3 Example of C2/C2/1/5 System . . . . . . . . .. . . . . 35
7 Conclusions and Future Research 38
7.1 Conclusions . . .. . . . . . . . . . . . . . . . . . . 38
7.2 Future Research . . . .. . . . . . . . . . . . . . . . 39
References 40
Appendix A 42
Appendix B 46
Appendix C 47
Appendix D 48

[1] Bellman R., Introduction to Matrix Analysis, MacGraw-Hill, London, (1960).
[2] Bertsimas D., An exact FCFS waiting time analysis for a class of G/G/s queue-ing systems. QUESTA 3, 305-320, (1988).
[3] Bertsimas D., An analytic approach to a general class of G/G/s queueing sys-tems. Operations Research 38 , 139-155, (1990).
[4] Golub, G.H., and Van Loan, C.F., Matrix{Computations, The John Hopkins University Press, (1989).
[5] Chao, X., Pinedo, M. and Shaw, D., An Assembly Network of Queues with Product Form Solution. Journal of Applied Probability, 33, 858-869, (1996).
[6] Chao, X., Miyazawa, M., Serfozo, R., and Takada. H., Necessary and sufficient conditions for product form queueing networks. Queueing Systems, Vol 28, 377-401, (1998).
[7] Le Boudec, J.Y., Steady-state probabilities of the PH/PH/1 queue. Queueing Systems 3, 73-88, (1988).
[8] Neuts, M.F. Matrix-Geometric Solutions in Stochastic Models. The John Hop-kins University Press, (1981).
[9] Neuts, M.F. and Takahashi, Y. Asymptotic behavior of the stationary dis-tributions in the GI/PH/c queue with heterogeneous servers. Z. Wahrschein-lichkeitstheorie verw. Gebiete, 57, 441-452, (1988).

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