Packet delays in multiplexed video streams

Proxy‐based failure detection in multimedia streaming environments

“…a discrete-state Markov process [14,15]. In our work, the dynamic threshold can be calculated via a Markov chain that has an exponential distribution on the inter-arrival times of the streaming packets.…”

“…The packet loss and delay will provoke a transition of the server's status from the normal state C to the suspected state S. If the inter-arrival time of packets does not exceed the threshold, the state becomes the normal state C; otherwise, the state becomes S. Concerning the development of the decrement function f(d) for DT, the well-known Markov chain is used since the streaming video traffic can be modelled well by the finite state and discrete-time Markov chain, i.e. a discrete-state Markov process [14,15]. In our work, the dynamic threshold can be calculated via a Markov chain that has an exponential distribution on the inter-arrival times of the streaming packets.…”

Statistical multiplexing

“…For sources with large-dimensional K, even for moderate values of N, the estimation of buffer occupancy distributions for the multiplexed system becomes computationally intensive. A method for reducing the state-space dimension of multiplexed source generator is given by Thompson et al [91]. The reduction process involved the quantization of the rates and the fundamental rate was chosen to yield the best match to the mean and variance of the rate.…”