Stochastic Processes in Queueing Theory is a presentation of modern queueing theory from a unifying structural viewpoint. The basic ap- proach is to study the transient or limiting behaviour of the queueing systems with the help of algorithms on which the corresponding se- quences of arrival
On Regenerative Processes in Queueing Theory
β Scribed by J. W. Cohen (auth.)
- Publisher
- Springer-Verlag Berlin Heidelberg
- Year
- 1976
- Tongue
- English
- Leaves
- 102
- Series
- Lecture Notes in Economics and Mathematical Systems 121
- Edition
- 1
- Category
- Library
No coin nor oath required. For personal study only.
β¦ Synopsis
I. The single server queue GIIG/1 1 1. 1 Definitions 1 1. 2 Regenerative processes 2 1. 3 The sequence n 1,2, . . . 4 = !::!n' 1. 4 The process t dO,co)} 11 {~t' The process t dO,co)} 1. 5 15 {~t' Applications to the GIIG/1 queue 1. 6 16 The average virtual waiting time during a busy 17 cycle ii. Little's formula 17 iii. The relation between the stationary distributions 18 of the virtual and actual waiting time iv. The relation between the distribution of the idle 20 period and the stationary distribution of the actual waiting time v. The limiting distribution of the residual service 24 time Β£. , -pw vi. The relation for ~ rn E{e -n} 25 n=O 1. 7 Some notes on chapter I 27 II. The M/G/K system 31 2. 1 On the stationary distribution of the actual and virtua131 waiting time for the M/G/K queueing system 2. 2 The M/G/K loss system 36 2. 3 Proof of Erlang's formula for the M/G/K loss system 43 i. Proof for the system MIMI'" 45 ii. Proof for the system M/G/co 47 VI iii. Proof fol' the MIG IK los s system III. The M/G/1 system 3. 1 Introduction 71 (K) 3. 2 Downcrossings of the ~t -process 74 3. 3 The distribution of the supremum of the virtual waiting 75 β’ (00) d' b 1 tlme ~t urlng a usy cyc e i. The exit probability 76 ii.
β¦ Table of Contents
Front Matter....Pages I-IX
The single server queue GI/G/1....Pages 1-29
The M/G/K system....Pages 31-70
The M/G/1 system....Pages 71-90
Back Matter....Pages 91-96
β¦ Subjects
Economics/Management Science, general
π SIMILAR VOLUMES
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