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      관측불가능한 임의순서규칙 대기행렬시스템 분석 = Analysis of Unobservable RSS Queueing Systems

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      https://www.riss.kr/link?id=A106688077

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      다국어 초록 (Multilingual Abstract)

      The times of service commencement and service completion had been used for inferring the queueing systems. However, the service commencement times are difficult to measure because of unobservable nature in queueing systems. In this paper, for inferring queueing systems, the service commencement times are replaced for arrival times which can be easily observed. Determining the service commencement time is very important in our methods. The methods for first come first served(FCFS), last come first served(LCFS) queueing discipline are already developed in our previous work. In this paper, we extend to random selection for service(RSS) queueing discipline. The performance measures we used are mean queueing time and mean service time, the variances of two. The simulation results verify our proposed methods to infer queueing systems under RSS discipline.
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      The times of service commencement and service completion had been used for inferring the queueing systems. However, the service commencement times are difficult to measure because of unobservable nature in queueing systems. In this paper, for inferrin...

      The times of service commencement and service completion had been used for inferring the queueing systems. However, the service commencement times are difficult to measure because of unobservable nature in queueing systems. In this paper, for inferring queueing systems, the service commencement times are replaced for arrival times which can be easily observed. Determining the service commencement time is very important in our methods. The methods for first come first served(FCFS), last come first served(LCFS) queueing discipline are already developed in our previous work. In this paper, we extend to random selection for service(RSS) queueing discipline. The performance measures we used are mean queueing time and mean service time, the variances of two. The simulation results verify our proposed methods to infer queueing systems under RSS discipline.

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      참고문헌 (Reference)

      1 김윤배, "도착 및 이탈시점에 근거한 관측 불가능한 후입선출 대기행렬 모형의 분석" 한국시뮬레이션학회 16 (16): 75-81, 2007

      2 Larson, R., "The queue inference engine: Deducing queue statistics from transactional data" 36 : 586-601, 1990

      3 Larson, R., "The queue inference engine: Addendum" 37 : 1062-, 1991

      4 Toyoizumi, H., "Sengupta’s invariant relationship and its application to waiting time inference" 34 : 795-799, 1997

      5 Bingham, N., "Non-parametric estimation for the M/G/infinity queue" 51 : 71-97, 1999

      6 Basawa, I., "Maximum likelihood estimation for single server queues from waiting time data" 24 : 155-167, 1996

      7 Dimitrijevic, D., "Inferring most likely queue length from transactional data" 19 : 191-199, 1996

      8 Jones, L., "Inferring balking behavior from transactional data" 47 : 778-784, 1999

      9 Kim, Y. B., "Inference for Unobservable Queues from Arrival and Departure Data" 2005

      10 Masuda, Y., "Exploiting partial information in queueing -systems" 43 : 530-538, 1995

      1 김윤배, "도착 및 이탈시점에 근거한 관측 불가능한 후입선출 대기행렬 모형의 분석" 한국시뮬레이션학회 16 (16): 75-81, 2007

      2 Larson, R., "The queue inference engine: Deducing queue statistics from transactional data" 36 : 586-601, 1990

      3 Larson, R., "The queue inference engine: Addendum" 37 : 1062-, 1991

      4 Toyoizumi, H., "Sengupta’s invariant relationship and its application to waiting time inference" 34 : 795-799, 1997

      5 Bingham, N., "Non-parametric estimation for the M/G/infinity queue" 51 : 71-97, 1999

      6 Basawa, I., "Maximum likelihood estimation for single server queues from waiting time data" 24 : 155-167, 1996

      7 Dimitrijevic, D., "Inferring most likely queue length from transactional data" 19 : 191-199, 1996

      8 Jones, L., "Inferring balking behavior from transactional data" 47 : 778-784, 1999

      9 Kim, Y. B., "Inference for Unobservable Queues from Arrival and Departure Data" 2005

      10 Masuda, Y., "Exploiting partial information in queueing -systems" 43 : 530-538, 1995

      11 Daley, D., "Exploiting Markov-chains to infer queue length from transactional data" 29 : 713-732, 1992

      12 Pickands, J., "Estimation for the M/G/infinite queue with incomplete information" 84 : 295-308, 1997

      13 Mandelbaum, A., "Estimating characteristics of queueing networks using transactional data" 29 : 75-127, 1998

      14 Bertimas, D., "Deducing queueing from transactional data: The queue inference engine, revisited" 40 : 217-228, 1992

      15 Choudhury, A., "Bayesian inference and prediction in the single server Markovian queue" 67 : 371-383, 2006

      16 Jang, J., "A new procedure to estimate waiting time in GI/G/2 systems by server observation" 28 : 597-611, 2001

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      학술지 이력

      학술지 이력
      연월일 이력구분 이력상세 등재구분
      2026 평가예정 재인증평가 신청대상 (재인증)
      2020-01-01 평가 등재학술지 유지 (재인증) KCI등재
      2017-01-01 평가 등재학술지 유지 (계속평가) KCI등재
      2013-01-01 평가 등재학술지 유지 (등재유지) KCI등재
      2010-01-01 평가 등재학술지 유지 (등재유지) KCI등재
      2007-01-01 평가 등재학술지 선정 (등재후보2차) KCI등재
      2006-01-01 평가 등재후보 1차 PASS (등재후보1차) KCI등재후보
      2005-06-22 학술지명변경 외국어명 : 미등록 -> JOURNAL OF THE KOREA SOCIETY FOR SIMULATION KCI등재후보
      2004-01-01 평가 등재후보학술지 선정 (신규평가) KCI등재후보
      2004-01-01 평가 등재후보 탈락 (등재후보1차)
      2002-01-01 평가 등재후보 1차 FAIL (등재후보1차) KCI등재후보
      2000-07-01 평가 등재후보학술지 선정 (신규평가) KCI등재후보
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      학술지 인용정보

      학술지 인용정보
      기준연도 WOS-KCI 통합IF(2년) KCIF(2년) KCIF(3년)
      2016 0.3 0.3 0.32
      KCIF(4년) KCIF(5년) 중심성지수(3년) 즉시성지수
      0.28 0.25 0.541 0.11
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