Performance Modeling and ANFIS Computing for Finite Buffer Retrial Queue Under F-Policy

Jain, Madhu; Sanga, Sudeep Singh

doi:10.1007/978-981-10-3325-4_25

Cited by 8 publications

(2 citation statements)

References 18 publications

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“…Yeh et al [41] developed a finite capacity single server Markovian queueing model under the < p − F > policy and established the steady-state analytical formulae for various performance indices. The machine repair problem was investigated by Jain and Sanga [16,17] by considering the arrivals of failed machines to the repair facility as per F -policy.…”

Section: Madhu Jain and Sudeep Singh Sangamentioning

confidence: 99%

Admission control for finite capacity queueing model with general retrial times and state-dependent rates

Jain¹,

Sanga²

2020

Journal of Industrial &Amp; Management Optimization

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The finite state dependent queueing model with F-policy is investigated by considering the general retrial attempts. On arrival in the system, if the job finds the server engaged, it is forced to enter into the retrial orbit. After a random period of time, the job from the retrial orbit re-attempts for the service. According to F-policy, as the system attains its full capacity, the arrivals are restricted to join the system until the number of jobs comes down to the prefixed threshold value 'F '. The supplementary variable corresponding to the remaining retrial time is used to frame the governing equations which are solved by using Laplace-Stieltjes transform and then applying the recursive method. Special models for machine repair and time-sharing queue are deduced by setting the state dependent rates. Several system indices are obtained explicitly which are further used to facilitate the sensitivity analysis by considering a numerical illustration. A cost function is constructed and minimized for evaluating the optimal threshold parameter and optimal service rate.

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Section: Madhu Jain and Sudeep Singh Sangamentioning

confidence: 99%

Admission control for finite capacity queueing model with general retrial times and state-dependent rates

Jain¹,

Sanga²

2020

Journal of Industrial &Amp; Management Optimization

Self Cite

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“…The model performance is analyzed by graphically and numerically. [6] studied the cost function to evaluate the optimal service rate of the system. The numerical results are obtained for this model by using the adaptive neuro fuzzy inference system (ANFIS).…”

Section: Introductionmentioning

confidence: 99%

Analysis of a Single Server Retrial Queueing System with Finite Capacity, F-Policy, Balking, Reneging and Server Maintenance

Jeyachandhiran,

Rajendran

2024

Contemp. Math.

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In this paper, we determine a single server retrial queuing system with finite capacity, F-policy, balking, reneging and server maintenance. The arriving customer when notices the server becomes free, then they get service immediately. In case server becomes busy, the customers are move to either orbit or may balk the system. In the orbit, after some random time the customer repeats their attempts for service. The customers are waiting in the orbit for longer time become impatient and leaves the orbit without getting service. Once the number of customers in the orbit reaches its full capacity then the arrival of customer is not allowed to enter into the orbit. The new customer is allowed into the orbit when the F-policy level is reached. If no more customer in the orbit, server will move to the vacation. By using recursive technique, the steady state distributions are obtained and we have developed various performance measures.

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F-Policy for M/M/1/K Retrial Queueing Model with State-Dependent Rates

Jain

Sanga

2018

Performance Prediction and Analytics of Fuzzy, Reliability and Queuing Models

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Performance Modeling and ANFIS Computing for Finite Buffer Retrial Queue Under F-Policy

Cited by 8 publications

References 18 publications

Admission control for finite capacity queueing model with general retrial times and state-dependent rates

Admission control for finite capacity queueing model with general retrial times and state-dependent rates

Analysis of a Single Server Retrial Queueing System with Finite Capacity, F-Policy, Balking, Reneging and Server Maintenance

F-Policy for M/M/1/K Retrial Queueing Model with State-Dependent Rates

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