Balking and reneging in multiserver Markovian queuing system

Choudhury, Amit; Medhi, Pallabi

doi:10.1504/ijmor.2011.040874

Cited by 39 publications

(15 citation statements)

References 23 publications

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“…Balking arises in a situation where a client deters to join the queue because of extensive waiting time or service time and they may relinquish the queue. Haight (1957) is the first researcher studied queue with balking and Ancker and Gafarian (1963), Altman and Yechiali (2006), Yue et al (2006), Choudhury and Medhi (2011), are the other researchers studied queue with balking in different aspects.…”

Section: Literature Reviewmentioning

confidence: 99%

Analysis of performance measures to improve the quality of service in cloud based e-government web portal

Priya

Subha

Balamurugan

2018

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Online registration system (ORS) is an Indian government digital initiative under the policy of e-Kranti. This sector needs high quality of service (QoS) as it is crowded with numerous patients for various requisitions. In this paper, a stochastic queueing model is proposed to study a single virtual machine queue with batch arrivals and two types of different services (registration and appointment) one after the other in series. After getting this service, a certain batch of patient's may need an additional service from the ORS portal or they may quit. We also considered patient's impatient behaviour wherein batch of patients decide not to take any service in the ORS portal. We attain steady-state results and probability generating functions and the properties of several parameters on the virtual machine performance are analysed numerically. These results can help the management to calculate the service level of the web portal and to improve the performance.

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Section: Literature Reviewmentioning

confidence: 99%

Analysis of performance measures to improve the quality of service in cloud based e-government web portal

Priya

Subha

Balamurugan

2018

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“…Ke & Wang, 2002;Choudhury & Medhi, 2011). This paper considers a probabilistic type reneging in a geometric fashion for the analysis of MRP with imperfect switching and standby support.…”

Section: Literature Reviewmentioning

confidence: 99%

Sensitivity analysis of repairable redundant system with switching failure and geometric reneging

Shekhar¹,

Jain²,

Raina³

et al. 2017

10.5267/j.dsl

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This study deals with the performance modeling and reliability analysis of a redundant machining system composed of several functional machines. To analyze the more realistic scenarios, the concepts of switching failure and geometric reneging are included. The time-tobreakdown and repair time of operating and standby machines are assumed to follow the exponential distribution. For the quantitative assessment of the machine interference problem, various performance measures such as mean-time-to-failure, reliability, reneging rate, etc. have been formulated. To show the practicability of the developed model, a numerical illustration has been presented. For the practical justification and validity of the results established, the sensitivity analysis of reliability indices has been presented by varying different system descriptors.Growing Science Ltd. All rights reserved. 7

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“…Al-seedy et al [3] study M/M/c queue with balking and reneging and derived its transient solution by using the probability generating function technique and the properties of Bessel function. Choudhury and Medhi [4] study customer impatience in multi-server queues. They consider both balking and reneging as functions of system state by taking into consideration the situations where the customer is aware of its position in the system.…”

Section: Literature Surveymentioning

confidence: 99%

M/D/1 Feedback Queueing Models with Retention of Reneged Customers

2016

IJSR

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Every organization is facing the problem of customer impatience. Customer retention is the key issue in this context.Organizations are applying strategies to sustain their businesses. An impatient customer (due to reneging) may be convinced to stay in service system for his service by utilizing certain convincing mechanisms. Such customers are termed as retained customers. Queueing with feedback represents customer dissatisfaction because of unsuitable quality of service. In case of feedback, after getting partial or incomplete service, customer retries for service. Customer Retention is incorporated in a single-server Markovian feedback queueing model. The steady-state solution of the models is derived. Some useful measures of performance are derived. A particular case of the model is discussed.

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Balking and reneging in multiserver Markovian queuing system

Cited by 39 publications

References 23 publications

Analysis of performance measures to improve the quality of service in cloud based e-government web portal

Analysis of performance measures to improve the quality of service in cloud based e-government web portal

Sensitivity analysis of repairable redundant system with switching failure and geometric reneging

M/D/1 Feedback Queueing Models with Retention of Reneged Customers

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