Self-similarity and stationarity of increments in VBR video

Rikli, Nasser-Eddine

doi:10.1016/j.jksuci.2011.09.003

Cited by 4 publications

(5 citation statements)

References 31 publications

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“…They found that the sample could be modeled using self-similar processes. Rikli (2011) found that all the tested VBR video traces could be considered self-similar.…”

Section: Overprovisioningmentioning

confidence: 91%

Dual-Mode Congestion Control Mechanism for Video Services

Vihervaara¹,

Loula²

2015

JMMC

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Recent studies have shown that video services represent over half of Internet traffic, with a growing trend. Therefore, video traffic plays a major role in network congestion. Currently on the Internet, congestion control is mainly implemented through overprovisioning and TCP congestion control. Although some video services use TCP to implement their transport services in a manner that actually works, TCP is not an ideal protocol for use by all video applications. For example, UDP is often considered to be more suitable for use by real-time video applications. Unfortunately, UDP does not implement congestion control. Therefore, these UDP-based video services operate without any kind of congestion control support unless congestion control is implemented on the application layer. There are also arguments against massive overprovisioning. Due to these factors, there is still a need to equip video services with proper congestion control. Most of the congestion control mechanisms developed for the use of video services can only offer either low priority or TCP-friendly real-time services. There is no single congestion control mechanism currently that is suitable and can be widely used for all kinds of video services. This thesis provides a study in which a new dual-mode congestion control mechanism is proposed. This mechanism can offer congestion control services for both service types. The mechanism includes two modes, a backward-loading mode and a real-time mode. The backward-loading mode works like a low-priority service where the bandwidth is given away to other connections once the load level of a network is high enough. In contrast, the real-time mode always demands its fair share of the bandwidth. The behavior of the new mechanism and its friendliness toward itself, and the TCP protocol, have been investigated by means of simulations and real network tests. It was found that this kind of congestion control approach could be suitable for video services. The new mechanism worked acceptably. In particular, the mechanism behaved toward itself in a very friendly way in most cases. The averaged TCP fairness was at a good level. In the worst cases, the faster connections received about 1.6 times as much bandwidth as the slower connections. iii Preface This thesis contains the results of research work, which has been carried out at the Pori Campus of the Tampere University of Technology. This work has been a challenging journey, including both uphill and downhill phases. Fortunately, I was not alone on this road but accompanied by a group of people always willing to coach, support, help, and motivate me. Certainly, I would have never reached the endpoint of this trip without the help and support of others. For this reason, I would like to thank all the people who have been involved in the process of creating this thesis throughout the years. First, I would like to thank my supervisors, Professors Pekka Loula and Tarmo Lipping, for taking me on as their student and guiding me through this study. They have been the ideal...

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“…They found that the sample could be modeled using self-similar processes. Rikli (2011) found that all the tested VBR video traces could be considered self-similar.…”

Section: Overprovisioningmentioning

confidence: 91%

Dual-Mode Congestion Control Mechanism for Video Services

Vihervaara¹,

Loula²

2015

JMMC

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“…The simulation capabilities are often limited to the choice of the traffic model, as in [11], or they are aimed at some specific kind of traffic and are far from universal. At the same time, for an adequate description of traffic during simulation, taking into account all the factors mentioned above, the traffic model itself becomes more complicated [12], for example, due to the additional parameter of productivity. Sometimes such complication arises due to additional parameters, as in the work [13].…”

Section: Literature Review and Problem Statementmentioning

confidence: 99%

“…If we denote h i =t i+1 −t i , then for tÎ[t i ; t i+1 ], i 0,n 1 = -the equation of the linear spline will have the form [12]:…”

Section: Restoration Of Self-similar Traffic Using Spline-function Apmentioning

confidence: 99%

Spline-approximation-based restoration for self-similar traffic

Strelkovskaya

Solovskaya

Severin

et al. 2017

EEJET

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“…For example, it is possible that non-self-similar network traffic models underestimate the required buffer sizes. The characteristics of this phenomenon are still attractive to researchers [15], [16].…”

Section: Introductionmentioning

confidence: 99%

Modeling of self-similar network traffic using artificial neural networks

Mirzaei

Mizanian

Rezaeian

2014

2014 4th International Conference on Computer and Knowledge Engineering (ICCKE)

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Self-similarity is a phenomenon which has come into computer networks literatures during last two decades and plays a significant role in modeling of computer network traffics. It is generally accepted that computer network traffics are self-similar and they are dissimilar to Poissonbased traffics. Computer network models exert a considerable influence on improving quality of service. Therefore, selfsimilarity should be considered in traffic models in order to acquire more appropriate QoS. In this paper, we propose a novel model for generating self-similar traffic. Our model includes a multi-layer perceptron neural network and a random error generator. This model has two phases: Firstly, the model is trained with real network traffic. Secondly, with the assistance of the random error generator, it generates traffic which is as self-similar as the real traffic. The implementation and the results validate this model through drawing a comparison between the Hurst parameter of the generated traffic and the real traffic.

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Self-similarity and stationarity of increments in VBR video

Cited by 4 publications

References 31 publications

Dual-Mode Congestion Control Mechanism for Video Services

Dual-Mode Congestion Control Mechanism for Video Services

Spline-approximation-based restoration for self-similar traffic

Modeling of self-similar network traffic using artificial neural networks

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