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Objectives: The purpose of this study is to (i) introduce an infinite capacity of interdependent queueing model and retention of reneged customers with feedback controllable arrival rates, (ii) compute the mean quantity of clients within the system and determining the anticipated waiting time of those clients, (iii)deal with the model descriptions, steady-state equations, and characteristics, which are expressed in terms and (iv) analyze the probabilities of the queueing system and its characteristics with numerical verification of the obtained results. Methods : The Poisson process is used to manage the arrival rates through quicker and slower arrival rates while delivering the input. The service additionally offers an exponential distribution. The service is supplied by the server using FCFS. In this article, two types of models are used which are the system’s conditions, where represents the number of units present in the queue in which their probability and all probabilities are distributed based on the speed of advent using this concept. Then, the steady-state probabilities are computed using a recursive approach. Findings: This paper discovers the number of clients using the system on average and the expected number of clients in the system using the probability of the steady-state calculation. Little’s formula is used to derive the expected waiting period of the clients in the system. Novelty: There are articles connected to the finite capacity of failed service in functioning and malfunctioning, but this takes the initiative to provide a link in connection with the rates of the controllable arrivals and inter dependency in the arrival and service processes. Mathematics Subject allocation: 60K25, 68M20, 90B22. Keywords: Infinite Capacity, Interdependent Controllable, Arrival and Service rates, Reverse balking, Single Server, Bivariate Poisson process and feedback
Bebittovimalan et al. (Fri,) studied this question.