We introduce noncausal counting processes, defined by time-reversing an INAR(1) process, a non-INAR(1) Markov affine or random coefficient [RCINAR(1)] process. The processes are shown to be generically time irreversible and their calendar dynamic properties unreplicable existing causal models. In particular, they allow for locally bubble-like explosion, while at the same preserving stationarity...

This article investigates the problem of the quality of service decrease in CARNet network during high videoconferencing traffic. The main objective of this research is to apply different queuing methods, i.e. FIFO, Priority Queuing and Weighted Fair Queuing on the proposed network. The ultimate objective is to create a model for the quality of service performance measurement based on the CARNe...