Simple and efficient models for variable bit rate MPEG video traffic

Rose, Oliver

doi:10.1016/s0166-5316(96)00054-5

Cited by 80 publications

(46 citation statements)

References 12 publications

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“…Simulation results were found to be better than those of a self-similar process when the switch buffer is relatively small. The MPEG video model presented in [40] is a Markov chain model based on the 'Group of Pictures' (GOP) level process rather than the frame level process. This has the advantage of eliminating the cyclical variation in the MPEG video pattern, but at the expense of decreasing the resolution of the time scale.…”

Section: Mpeg Standardsmentioning

confidence: 99%

Multimedia Traffic over Wireless and Satellite Networks

Rango¹,

Tropea²,

Fazio³

2010

Digital Video

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Section: Mpeg Standardsmentioning

confidence: 99%

Multimedia Traffic over Wireless and Satellite Networks

Rango¹,

Tropea²,

Fazio³

2010

Digital Video

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“…Most of these methods characterize the video sources using sophisticated stochastic models, such as Markov models [2], [3], autoregressive [4], self-similar [5], [6], and S-BIND [7], [8] models. These approaches are all stochastic and do not provide a deterministic bound on the traffic.…”

Section: Traffic Characterizationmentioning

confidence: 99%

“…The traffic characterization of a source is obtained by defining the traffic constraint function , which defines an upper bound on the amount of traffic generated in any time interval of length : (2) Note that the traffic constraint function does not depend on and hence provides a time-invariant bound for the function . The traffic constraint function is always wide-sense increasing (i.e., for ).…”

Section: A Deterministic Traffic Characterizationmentioning

confidence: 99%

Data transmission schemes for DVD-like interactive TV

Azimi

Nasiopoulos

Ward

2006

IEEE Trans. Multimedia

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Abstract-Current interactive services for digital TV are limited. They basically display a web page alongside the TV program, which enhances the viewer's experience by providing extra information about the TV program. We define new interactive services for digital TV, which provide DVD-like interactivity to TV viewers. These services enable viewers to control the content and final presentation of a TV program. Some of the attractive applications of our services include parental management, multilingual audio, multiangle video, video in video, etc. The challenge in implementing these services is in transmitting an extra audio or video stream (called incidental) along with the main streams of the TV program. In the first part of this paper, we present a framework for adding the incidental streams to the original transmission stream without increasing the required bandwidth, degrading the picture quality of the main streams, or violating the compatibility of the transmitted stream with standard TV receivers. In the second part of this paper, we explore the two basic mechanisms of the presented framework: traffic characterization and admission control. We present methods for implementing these mechanisms. Using our methods, one can determine whether a TV transmission network has the capability of sending an incidental stream or not. Simulations were conducted to test the validity of our method. The results verify that our method successfully transmits the incidental streams without any discrepancy and without affecting the quality of the main streams.

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“…Os demais trac;os correspondem a seqiiencias de video MPEG, que tambem apresentam comportamento fractal [5,8]. Cada trac;o consiste em uma seqiiencia discreta de 4 x 10 4 amostras, sendo que cada amostra corresponde ao tamanho (em bytes) de urn quadro de video MPEG completo.…”

Section: Processo De Chegadas Com L1mitante Fracionariounclassified

“…Estudos recentes indicam que 0 trMego em diversos tipos de redes apresenta propriedades fractais [I,2,3,4,5,6,7,8,9,10,II,12,13]. Em outras palavras, as propriedades estatfs ticas do trMego nao variam em relac;ao 11 escala de tempo de observac;ao, nao sendo possfvel apontar uma escala de tempo dominante [2,3,6].…”

Section: Introduc;:aounclassified

Modelagem de Trafego Fractal Utilizando Processos Envelope

Pereira¹,

Fonseca²,

Arantes³

2004

Journal of Communication and Information Systems

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Resumo -Neste artigo, propoe-se 0 uso de urn processo en velope denominado Processo de Chegada com Limitante Fra ciomirio (Fractional Bounded Arrival Process, FBAP) para a representac;ao de trMego auto-similar. A analise de sistemas de filas para 0 trMego FBAP e desenvolvida, e limitantes para o tamanho da fila (backlog) e para 0 atraso sao apresenta dos. 0 policiamento de trMego FBAP tambem e estudado.Os resultados sao estendidos para 0 caso do trMego multifrac tal, para 0 qual se apresenta urn processo envelope denomi nado Processo de Chegada com Limitante Multifractal (Mul tifractal Bounded Arrival Process, MFBAP). Tanto 0 FBAP como 0 MFBAP sao validados utilizando trac;os de trMego real, sendo comprovado que sao capazes de representar ade quadamente 0 trMego com caracterfsticas fractais.Palavras-chave: Analise de desempenho de redes, engenha ria de trMego, Internet, redes de comunicac;oes banda larga, trMego multifractal, processos envelope.Abstract -In this paper, an envelope process called Frac tional Bounded Arrival Process (FBAP) is proposed for self similar traffic representation. A queueing analysis for FBAP traffic is developed, and upper bounds for the backlog and for the delay are obtained. The policing of FBAP traffic is also investigated. Results are then extended to the multifrac tal traffic case, for which an envelope process called Multi fractal Bounded Arrival Process (MFBAP) is proposed. The FBAP and the MFBAP models are validated against real traf fic traces, and they are proved to provide an adequate repre sentation for fractal traffic.Keywords: Network performance analysis, traffic engineer ing, Internet, wideband communications networks, multifrac tal traffic, envelope processes. INTRODUC;:AOEstudos recentes indicam que 0 trMego em diversos tipos de redes apresenta propriedades fractais [I,2,3,4,5,6,7,8,9,10,II,12,13]. Em outras palavras, as propriedades estatfs ticas do trMego nao variam em relac;ao 11 escala de tempo de observac;ao, nao sendo possfvel apontar uma escala de tempo dominante [2,3,6]. Varios trabalhos tern sido direcionados 11 modelagem do trMego fractal [13]. A importancia destes estudos advem dos efeitos nocivos deste tipo de trMego no desempenho das re des, os quais nao podem ser adequadamente analisados me diante 0 uso de modelos de trMego tradicionais [13]. De fato, o trMego fractal e caracterizado pela ocorrencia de surtos de grande intensidade em varias escalas de tempo. Alem disso, este tipo de trMego apresenta dependencia de longa durac;ao, que leva a persistencia temporal dos surtos de trMego, oca sionando significativas perdas por transbordo nos nos de co mutac;ao [13].Diversos autores argumentam que 0 conceito de auto similaridade estatfstica pode ser utilizado para caracterizar 0 comportamento do trMego fractal [2,3,4,6]. Considera-se que urn processo Z(t) com incrementos estacionarios e auto similar se a relac;aoe valida para algum 0 < H < 1. 0 sfmbolo ~ indica igual dade em distribuic;ao.Modelos auto-similares foram propostos para a repre sentac;ao do trMego ...

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Simple and efficient models for variable bit rate MPEG video traffic

Cited by 80 publications

References 12 publications

Multimedia Traffic over Wireless and Satellite Networks

Multimedia Traffic over Wireless and Satellite Networks

Data transmission schemes for DVD-like interactive TV

Modelagem de Trafego Fractal Utilizando Processos Envelope

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