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학술논문Journal of Applied Mathematics and Informatics2023.11 발행

Analysis of an M/G/1 queueing system with disgruntled jobs and different types of service rate

Analysis of an M/G/1 queueing system with disgruntled jobs and different types of service rate

M. Kannan(SRM Institute of Science and Technology); V. Poongothai(SRM Institute of Science and Technology); P. Godhandaraman(SRM Institute of Science and Technology)

41권 6호, 1155~1171쪽

초록

This paper investigates a non Markovian M/G/1 queue with retrial policy, different kind of service rates as well as unsatisfied clients which is inspired by an example of a transmission medium access control in wireless communications. The server tends to work continuously until it finds at least one client in the system. The server will begin its maintenance tasks after serving all of the clients and if the system becomes empty. Provisioning periods in regular working periods and maintenance service periods should be evenly divided. Using supplementary variable technique, the amount of clients in the system as well as in the orbit were found. Further few performance measures of the system were demonstrated numerically.

Abstract

This paper investigates a non Markovian M/G/1 queue with retrial policy, different kind of service rates as well as unsatisfied clients which is inspired by an example of a transmission medium access control in wireless communications. The server tends to work continuously until it finds at least one client in the system. The server will begin its maintenance tasks after serving all of the clients and if the system becomes empty. Provisioning periods in regular working periods and maintenance service periods should be evenly divided. Using supplementary variable technique, the amount of clients in the system as well as in the orbit were found. Further few performance measures of the system were demonstrated numerically.

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Analysis of an M/G/1 queueing system with disgruntled jobs and different types of service rate | Journal of Applied Mathematics and Informatics 2023 | AskLaw | 애스크로 AI