애스크로AIPublic Preview
← 학술논문 검색
학술논문Journal of Applied Mathematics and Informatics2021.01 발행

Analysis of M/M/c retrial queue with thresholds, PH distribution of retrial times and unreliable servers

Analysis of M/M/c retrial queue with thresholds, PH distribution of retrial times and unreliable servers

Srinivas R. Chakravarthy(Kettering University); Serife Ozkar(Balikesir University); Shruti(Birla Institute of Technology and Science Pilani)

39권 1호, 173~196쪽

초록

This paper treats a retrial queue with phase type retrial times and a threshold type-policy, where each server is subject to breakdowns and repairs. Upon a server failure, the customer whose service gets interrupted will be handed over to another available server, if any; otherwise, the customer may opt to join the retrial orbit or depart from the system according to a Bernoulli trial. We analyze such a multi-server retrial queue using the recently introduced threshold-based retrial times for orbiting customers. Applying the matrix-analytic method, we carry out the steady-state analysis and report a few illustrative numerical examples.

Abstract

This paper treats a retrial queue with phase type retrial times and a threshold type-policy, where each server is subject to breakdowns and repairs. Upon a server failure, the customer whose service gets interrupted will be handed over to another available server, if any; otherwise, the customer may opt to join the retrial orbit or depart from the system according to a Bernoulli trial. We analyze such a multi-server retrial queue using the recently introduced threshold-based retrial times for orbiting customers. Applying the matrix-analytic method, we carry out the steady-state analysis and report a few illustrative numerical examples.

발행기관:
한국전산응용수학회
분류:
수학

AI 법률 상담

이 논문의 주제에 대해 더 알고 싶으신가요?

460만+ 법률 자료에서 관련 판례·법령·해석례를 찾아 답변합니다

AI 상담 시작
Analysis of M/M/c retrial queue with thresholds, PH distribution of retrial times and unreliable servers | Journal of Applied Mathematics and Informatics 2021 | AskLaw | 애스크로 AI