• Title/Summary/Keyword: Queueing System

Search Result 438, Processing Time 0.038 seconds

Worst Average Queueing Delay of Multiple Leaky-Bucket-Regulated Streams and Jumping-Window Regulated Stream

  • Lee, Daniel C.
    • Journal of Communications and Networks
    • /
    • v.6 no.1
    • /
    • pp.78-87
    • /
    • 2004
  • This paper presents deterministic, worst-case analysis of a queueing system whose multiple homogeneous input streams are regulated by the associated leaky buckets and the queueing system that has a single stream regulated by the jumping-window. Queueing delay averaged over all items is used for performance measure, and the worst-case input traffic and the worst-case performance are identified for both queueing systems. For the former queueing system, the analysis explores different phase relations among leaky-bucket token generations. This paper observes how the phase differences among the leaky buckets affect the worst-case queueing performance. Then, this paper relates the worst-case performance of the former queueing system with that of the latter (the single stream case, as in the aggregate streams from many users, whose item arrivals are regulated by one jumping-window). It is shown that the worst-case performance of the latter is identical to that of the former in which all leaky buckets have the same phase and have particular leaky bucket parameters.

Proposal of Approximation Analysis Method for GI/G/1 Queueing System

  • Kong, Fangfang;Nakase, Ippei;Arizono, Ikuo;Takemoto, Yasuhiko
    • Industrial Engineering and Management Systems
    • /
    • v.7 no.2
    • /
    • pp.143-149
    • /
    • 2008
  • There have been some approximation analysis methods for a GI/G/1 queueing system. As one of them, an approximation technique for the steady-state probability in the GI/G/1 queueing system based on the iteration numerical calculation has been proposed. As another one, an approximation formula of the average queue length in the GI/G/1 queueing system by using the diffusion approximation or the heuristics extended diffusion approximation has been developed. In this article, an approximation technique in order to analyze the GI/G/1 queueing system is considered and then the formulae of both the steady-state probability and the average queue length in the GI/G/1 queueing system are proposed. Through some numerical examples by the proposed technique, the existing approximation methods, and the Monte Carlo simulation, the effectiveness of the proposed approximation technique is verified.

AN ANALYSIS FOR THE BIDIRECTIONAL QUEUEING NETWORK

  • Lim, Jong-Seul
    • Journal of applied mathematics & informatics
    • /
    • v.9 no.1
    • /
    • pp.349-357
    • /
    • 2002
  • In this paper, we analyze queueing behaviors and investigate the possibilities of reducing and controlling shortages and oversupplies in the bidirectional queueing system which forms a negative queue by demand and a positive queue by supply. Interarrival times of units in the bidirectional queueing system investigated are exponetially distributed. Instant pairing off implies that queue can be either positive or negative, but not both at the same time. The results include a proof that sum of queue lengths is minimized if rates of demand and supply in each system are equal and optimum solutions for rates of supply which minimize the sum of queue lengths when rates of demand and sum of rates of supply are given. In addition, the relationship between the ordinary queueing system and the bidirectional queueing system is investigated.

ON M/M/3/3 RETRIAL QUEUEING SYSTEM

  • KIM, YEONG CHEOL
    • Honam Mathematical Journal
    • /
    • v.17 no.1
    • /
    • pp.141-147
    • /
    • 1995
  • We find a method finding the steady-state probabilities of M/M/3/3 retrial queueing system.

  • PDF

TRANSIENT ANALYSIS OF A QUEUEING SYSTEM WITH MARKOV-MODULATED BERNOULLI ARRIVALS AND OVERLOAD CONTROL

  • Choi, Doo-Il
    • Journal of applied mathematics & informatics
    • /
    • v.15 no.1_2
    • /
    • pp.405-414
    • /
    • 2004
  • This paper considers overload control in telecommunication networks. Markov-modulated Bernoulli process ( MMBP ) has been extensively used to model bursty traffics with time-correlation. Thus, we investigate the transient behavior of the queueing system MMBP/D/l/K queue with two thresholds. The model is analyzed recursively by using the generating function method. We obtain the transient queue length distribution and waiting time distribution at an arbitrary time. The transient behavior of the queueing system helps observing the temporary system behavior.

QUEUEING SYSTEMS WITH N-LIMITED NONSTOP FORWARDING

  • LEE, YUTAE
    • East Asian mathematical journal
    • /
    • v.31 no.5
    • /
    • pp.707-716
    • /
    • 2015
  • We consider a queueing system with N-limited nonstop forwarding. In this queueing system, when the server breaks down, up to N customers can be serviced during the repair time. It can be used to model an assembly line consisting of several automatic stations and a manual backup station. Within the framework of $Geo^X/D/1$ queue, the matrix analytic approach is used to obtain the performance of the system. Some numerical examples are provided.

Optimal N-Policy of M/G/1 with Server Set-up Time under Heterogeneous Arrival Rates (서버상태의존 도착률을 갖는 M/G/l 모형의 최적 제어정책)

  • Paik, Seung-Jin;Hur, Sun
    • Journal of Korean Society of Industrial and Systems Engineering
    • /
    • v.20 no.43
    • /
    • pp.153-162
    • /
    • 1997
  • M/G/1 queueing system is one of the most widely used one to model the real system. When operating a real systems, since it often takes cost, some control policies that change the operation scheme are adopted. In particular, the N-policy is the most popular among many control policies. Almost all researches on queueing system are based on the assumption that the arrival rates of customers into the queueing system is constant, In this paper, we consider the M/G/1 queueing system whose arrival rate varies according to the servers status : idle, set-up and busy states. For this study, we construct the steady state equations of queue lengths by means of the supplementary variable method, and derive the PGF(probability generating function) of them. The L-S-T(Laplace Stieltjes transform) of waiting time and average waiting time are also presented. We also develop an algorithm to find the optimal N-value from which the server starts his set-up. An analysis on the performance measures to minimize total operation cost of queueing system is included. We finally investigate the behavior of system operation cost as the optimal N and arrival rate change by a numerical study.

  • PDF

A Study on the Optimal Order of Queueing Networks in Series (시리즈로 구성된 큐잉망의 최적 순서에 관한 연구)

  • Cho, Han Byeog;Kim, Jae Yearn
    • Journal of Korean Society for Quality Management
    • /
    • v.19 no.2
    • /
    • pp.133-137
    • /
    • 1991
  • In this paper, the queueing system in series is studied. The system is a tandem queueing system which has three stations. In system, one service station has a general distributions and two service stations have exponential distribution. Each station has a single server. The customer arrives with Poisson process and is serviced sequentially. It is assumed that the order of stations does not affect the quality of services. Using the light traffic approximations, the optimal order of the system which has the three stations is decided.

  • PDF

Analysis of BMAP/M/N/0 Queueing System for Telecommunication Network Traffic Control (통신망 트래픽 제어를 위한 BMAP/M/N/0 대기행렬모형 분석)

  • Lee, Seok-Jun;Kim, Che-Soong
    • Journal of Korean Society of Industrial and Systems Engineering
    • /
    • v.30 no.4
    • /
    • pp.39-45
    • /
    • 2007
  • The BMAP/M/N/0 queueing system operating in Markovian random environment is investigated. The stationary distribution of the system is derived. Loss probability and other performance measures of the system also are calculated. Numerical experiments which show the necessity of taking into account the influence of random environment and correlation in input flow are presented.