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The randomized threshold for the discrete-time Geo/G/1 queue
Authors:Tsung-Yin Wang  Jau-Chuan Ke
Institution:1. Department of Accounting, National Taichung Institute of Technology, No. 129, Sec. 3, Sanmin Rd., Taichung 404, Taiwan, ROC;2. Department of Applied Statistics, National Taichung Institute of Technology, Taichung 404, Taiwan, ROC
Abstract:This paper discusses a discrete-time Geo/G/1 queue, in which the server operates a random threshold policy, namely 〈pN〉 policy, at the end of each service period. After all the messages are served in the queue exhaustively, the server is immediately deactivated until N messages are accumulated in the queue. If the number of messages in the queue is accumulated to N, the server is activated for services with probability p and deactivated with probability (1 − p). Using the generating functions technique, the system state evolution is analyzed. The generating functions of the system size distributions in various states are obtained. Some system characteristics of interest are derived. The long-run average cost function per unit time is analytically developed to determine the joint optimal values of p and N at a minimum cost.
Keywords:Cost  Busy period  Discrete-time queue  Markov chain  Random threshold policy
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