U
U. C. Gupta
Researcher at Indian Institute of Technology Kharagpur
Publications - 119
Citations - 1762
U. C. Gupta is an academic researcher from Indian Institute of Technology Kharagpur. The author has contributed to research in topics: Queue & M/G/1 queue. The author has an hindex of 22, co-authored 112 publications receiving 1622 citations. Previous affiliations of U. C. Gupta include Indian Institutes of Technology.
Papers
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On the GI/M/1/N queue with multiple working vacations—analytic analysis and computation
TL;DR: Finite buffer single server GI/M/1 queue with exhaustive service discipline and multiple working vacations with potential application in the area of communication network, computer systems etc. where a single channel is allotted for more than one source.
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On the M/G/1 machine interference model with spares
TL;DR: A recursive method is developed to obtain the steady state probability distribution of the number of down machines at arbitrary time epoch of a machine interference problem with spares.
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Performance analysis of finite buffer discrete-time queue with bulk service
U. C. Gupta,Veena Goswami +1 more
TL;DR: This paper model a single-server queue with finite buffer space in a discrete-time environment where the services are performed in batches of maximum size 'b' with a minimum threshold value 'a' and retrieves system performance measures such as average buffer content, average delay and probability of blocking.
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A recursive method to compute the steady state probabilities of the machine interference model: (M/G/1)/ K
TL;DR: A recursive method is developed to obtain the steady state probability distribution of the number of down machines at arbitrary time epochs of a machine interference model with arbitrary repair (service) time distribution.
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Analysis of a finite-buffer bulk-service queue under Markovian arrival process with batch-size-dependent service
TL;DR: A finite capacity single server queue in which the customers arrive according to a Markovian arrival process is considered, in steady-state, the joint distribution of the random variables of interest at various epochs.