%0 Journal Article
%T Analytically Simple and Computationally Efficient Solution to Geo/G/1 and Geo/G/1/N Queues Involving Heavy
%A Indra
%A Mohan L. Chaudhry
%A Vijay Rajan
%J Calcutta Statistical Association Bulletin
%@ 2456-6462
%D 2018
%R 10.1177/0008068318770566
%X Abstract The previous studies pertaining to the queues Geo/G/1 and Geo/G/1/N involve light-tailed distributions for service time. However, due to applications of heavy-tailed distributions in computer science and financial engineering, these distributions are used for service time. This article provides a simple and computationally efficient solution to the queues Geo/G/1 and Geo/G/1/N involving heavy-tailed distributions for service times
%K Discrete-time queues
%K heavy-tailed distributions
%K finite space
%K infinite space
%K geometric input
%U https://journals.sagepub.com/doi/full/10.1177/0008068318770566