On the joint distribution of an infinite-buffer discrete-time batch-size-dependent service queue with single and multiple vacation

Abstract

Due to the widespread applicability of discrete-time queues in wireless networks or telecommunication systems, this paper analyzes an infinite-buffer batch-service queue with single and multiple vacation where customers/messages arrive according to the Bernoulii process and service time varies with the batch-size.The foremost focal point of this analysis is to get the complete joint distribution of queue length and server content at service completion epoch, for which first the bivariate probability generating function has been derived. We also acquire the joint distribution at arbitrary slot. We also provide several marginal distributions and performance measures for the utilization of the vendor. Transmission of data through a particular channel is skipped due to the high transmission error. As the discrete phase type distribution plays a noteworthy role to control this error, we include numerical example where service time distribution follows discrete phase type distribution. A comparison between batch-size dependent and independent service has been drawn through the graphical representation of some performance measures and total system cost.

Modeling and analysis of a discrete-time group-arrival and batch-size-dependent service queue with single and multiple vacation

“…Recently, Nandy and Pradhan [34] analyzed an infinite-buffer discrete-time batch-size-independent service Geo/G (a,b) n /1 queue with single and multiple vacation where customers arrive individually according to Bernoulli arrival process. However, in several practical scenarios, customers may arrive in groups or batches.…”