Using the Whittle estimator for VBR video traffic model selection in the spectral domain

Abstract

Improvements in network infrastructures along with advances in video coding technology are enabling an increasing popularity of multimedia applications. Consequently, video traffic represents an important part of the load in modern networks, and adequate models play an important role in the performance evaluation of network architectures and protocols. This paper presents a method that uses the Whittle estimator to choose, between several models for variable-bit-rate video traffic based on the M/G/1 process, the one that gives rise to a better adjustment of the spectral density, and therefore of the correlation structure, of the traffic to model.

Video Traffic Characteristics of Modern Encoding Standards: H.264/AVC with SVC and MVC Extensions and H.265/HEVC

“…There are many important research directions on communications and networking mechanisms for efficiently accommodating video streams encoded with modern encoding standards. The pronounced traffic variabilities of the modern video coding standards requires careful research on adaptive transmission with buffering/smoothing [ 74 – 80 ] as well as traffic modeling [ 81 ] and transport mechanisms. For instance, metro/access networks [ 82 – 85 ] that multiplex relatively few video streams may require specialized protocols for video transport [ 86 – 89 ].…”

Predicting Bursty Network Traffic with Self-similarity Characteristic over Echo State Covariation Orthogonality Network

“…Recently, with the rapid development of the communication and network technologies, the traffic characteristics have changed drastically. Network traffic [5] over high-speed Internet typically can possess the characteristics self-similarity and long range dependence, and simultaneously exhibit high bursty over different time scales. It is a challenging problem to measure the network traffic directly in real networks [6].…”