• 제목/요약/키워드: queue

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THE M/G/1 FEEDBACK RETRIAL QUEUE WITH BERNOULLI SCHEDULE

  • Lee, Yong-Wan;Jang, Young-Ho
    • Journal of applied mathematics & informatics
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    • 제27권1_2호
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    • pp.259-266
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    • 2009
  • We consider an M/G/1 feedback retrial queue with Bernoulli schedule in which after being served each customer either joins the retrial group again or departs the system permanently. Using the supplementary variable method, we obtain the joint generating function of the numbers of customers in two groups.

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The Virtual Waiting Time of the M/G/1 Queue with Customers of n Types of Impatience

  • Bae Jongho
    • 한국통계학회:학술대회논문집
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    • 한국통계학회 2004년도 학술발표논문집
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    • pp.289-294
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    • 2004
  • We consider M/G/1 queue in which the customers are classified into n+1 classes by their impatience time. First, we analyze the model of two types of customers; one is the customer with constant impatience duration k and the other is patient customer. The expected busy period of the server and the limiting distribution of the virtual waiting time process are obtained. Then, the model is generalized to the one in which there are classes of customers according to their impatience duration.

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An M/G/1 Queue under the $P_\lambda\;^M$ with a Setup Time

  • Lee Jiyeon;Kim Jongwoo
    • 한국통계학회:학술대회논문집
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    • 한국통계학회 2004년도 학술발표논문집
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    • pp.301-306
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    • 2004
  • We consider the $P_\lambda\;^M$ service policy for an M/G/1 queue in which the service rate is increased from 1 to M at the exponential setup time after the level of workload exceeds $\lambda$. The stationary distribution of the workload is explicitly obtained through the level crossing argument.

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CONCAVITY OF THE CONDITIONAL MEAN SOJOURN TIME IN THE PROCESSOR-SHARING QUEUE WITH BATCH ARRIVALS

  • Kim, Jeong-Sim
    • 대한수학회보
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    • 제47권6호
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    • pp.1251-1258
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    • 2010
  • For an M/G/1 processor-sharing queue with batch arrivals, Avrachenkov et al. [1] conjectured that the conditional mean sojourn time is concave. However, Kim and Kim [5] showed that this conjecture is not true in general. In this paper, we show that this conjecture is true if the service times have a hyperexponential distribution.

제어운영 정책하에 있는 집단으로 도착하는 서어버 휴가 모형의 안정상태 확률 (Steady State Probabilities for the Server Vacation Model with Group Arrivals and under Control operating Policy)

  • 이효성
    • 한국경영과학회지
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    • 제16권2호
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    • pp.36-48
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    • 1991
  • In this study, an efficient algorithm is developed to compute steady state probabilities for the following M$_{x}$G/1 server vacation system under control-operating poligy: At the end of a busy period, the server takes a sequence of vacations, each for a random amount of time. At the end of each vacation, he inspects the length of the queue. If the queue length at this time is equal to or greater than a prespecified threshold value r, he begins to serve the queue until it is empty.y.

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SOJOURN TIME DISTIBUTIONS FOR M/M/c G-QUEUE

  • Shin, Yang-Woo
    • 대한수학회논문집
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    • 제13권2호
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    • pp.405-434
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    • 1998
  • We consider an M/M/c queue with two types of custormers, positive customers and negative customers. Positive customers are ordinary ones who upon arrival, join a queue with the intention of getting served and each arrival of negative customer removes a positive customer in the system, if any presents, and then is disappeared immediately. The Laplace-Stieltjes transforms (LST's) of the sojourn time distributions of a tagged customer, joinly with the probability that the tagged customer completes his service without being removed are derived under the combinations of various service displines; FCFS, LCFS and PS and removal strategies; RCF, RCH and RCR.

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WAITING TIME DISTRIBUTION IN THE M/M/M RETRIAL QUEUE

  • Kim, Jeongsim;Kim, Jerim
    • 대한수학회보
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    • 제50권5호
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    • pp.1659-1671
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    • 2013
  • In this paper, we are concerned with the analysis of the waiting time distribution in the M/M/m retrial queue. We give expressions for the Laplace-Stieltjes transform (LST) of the waiting time distribution and then provide a numerical algorithm for calculating the LST of the waiting time distribution. Numerical inversion of the LSTs is used to calculate the waiting time distribution. Numerical results are presented to illustrate our results.

여러개의 two-state MMPP 입력을 갖는 대기체계에 대한 계산방법 (Analysis of MMPP/M/1 Queue with several homogeneous two-state MMPP sources)

  • 이계민;안수한;전종우
    • 한국통신학회논문지
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    • 제24권9A호
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    • pp.1354-1358
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    • 1999
  • In this paper, we suggest a simple computational algorithm to obtain the queue length distribution in the finite queue, where the input process consists of several homogeneous two-state Markov modulated Poisson processes. With comparison to the conventional algorithm, is more practical, in particular, when a large number of input sources are loaded to the system.

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JLBS의 효율적인 운용을 위한 시뮬레이션 (Simulation for Efficient Employment of JLBS)

  • 남동진;한영신;이칠기
    • 한국시뮬레이션학회:학술대회논문집
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    • 한국시뮬레이션학회 2002년도 춘계학술대회논문집
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    • pp.183-187
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    • 2002
  • JLBS는 multi-server multi-queue 방식을 채택하고 있으며, 각 tool별로 할당된 license 수에 비례하여 system을 할당한다. 그러나 이러한 방식의 문제점은 특정 tool에만 job이 집중될 경우 비효율적이다. 즉 특정 system은 모두 사용되고 있고, queue에는 많은 job이 대기하고, 여타 tool에 해당하는 queue에는 대기하는 job이 없어서 system이 그냥 놀고 있는 현상이 발생한다. 본 논문에서는 이러한 단점을 극복하기 위해 각 tool에 license수에 비례하여 할당되었던 system을 모든 tool들이 system을 공유할 수 있도록 하는 방법을 제안했다. 대신 system의 숫자는 줄이고, license의 숫자는 더 할당하는 방법으로, 기존의 방법보다 더 효율적으로 나타났다.

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PAQM: an Adaptive and Proactive Queue Management for end-to-end TCP Congestion Control

  • 류승완
    • 한국경영과학회:학술대회논문집
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    • 한국경영과학회/대한산업공학회 2003년도 춘계공동학술대회
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    • pp.417-424
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    • 2003
  • In this paper, we introduce and analyze a feedback control model of TCP/AQM dynamics. Then, we propose the Pro-active Queue Management (PAQM) mechanism, which can provide proactive congestion avoidance and control using an adaptive congestion indicator and a control function for wide range of traffic environments. The PAQM stabilizes the queue length around a desired level while giving smooth and low packet loss rates independent of the traffic load level under a wide range of traffic environment. The PAQM outperforms other AQM algorithms such as Random Early Detection (RED) [1] and PI-controller [2]

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