How the traffic characteristics and the performance of a transport connection are affected at the link-transport layer is one of the important items to be studied to determine the end to end performance of a transport protocol. We model the link-transport layer that provides service to an XTP connection as a discrete time single server finite capacity queueing system at which two different arrival processes are allowed to merge, e.g., a Markov Modulated Bernoulli Process (MMBP) and a Bernoulli Process (BP). The MMBP models the bursty and correlated traffic from the designated XTP connection, and the BP models the external traffic, that is, the arrival of the packets from the rest of the coexisting connections at the link-transport layer. An exact analysis to obtain the queue length distributions, and the probability densities and the correlation coefficients of the interdeparture time distributions for the packets from the designated XTP connection is presented. Numerical examples are also investigated to show how the traffic characteristics of the designated XTP connection are affected by the amount of the external traffic, the degree of the burstiness and the correlation of the traffic source.KeywordsQueue LengthArrival ProcessInterarrival TimePacket ArrivalWait Time DistributionThese keywords were added by machine and not by the authors. This process is experimental and the keywords may be updated as the learning algorithm improves.