MPEG4 traffic modeling using the transform expand sample methodology

Matrawy, Ashraf; Lambadaris, L.; Huang, Changcheng

doi:10.1109/iwna.2001.980870

Cited by 56 publications

(37 citation statements)

References 2 publications

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“…However, there is still no single universally accepted model of self-similar traffic. Some known models do not feature the desired degree of self-similarity (Matrawy et al, 2002); others feature very high computational complexity (Melamed et al, 2003). From the statistical point of view, the distinction between traditional models of traffic and measured network traffic is interesting and important.…”

Section: Study Of Traffic Modelsmentioning

confidence: 99%

Modeling a Jitter in Telecommunication Data Networks for Studying Adequacy of Traffic Patterns

Blagov¹

2015

MAS

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This article focuses on researching quality of service in telecommunication networks, using simulation models. Due to the presence of the self-similarity effect in network traffic, the author used the approach with self-similar traffic patterns.The article proposes the method associated with building a one-dimensional distribution of delay variation, a jitter. Design and analysis of delay variation are tested on modifications of telecommunications traffic models «Input M/G/∞» and «On-Off Sources», which make it possible to simulate traffic with pre-defined self-similar properties and at the same time with pre-defined statistical characteristics of small levels.Software suite AnyLogic is used as simulation medium that supports approaches with both discrete and continuous time of simulation.The experiments established the benefits of improved versions of «InputM/G/∞» and «On-Off Sources» models over the base models in terms of the most important characteristic of Quality of Service in the jitter network. A conclusion was made that simulation modeling of the studied model makes it possible to analyze quality of service in a telecommunications network by such a parameter as delay variation.

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Section: Study Of Traffic Modelsmentioning

confidence: 99%

Modeling a Jitter in Telecommunication Data Networks for Studying Adequacy of Traffic Patterns

Blagov¹

2015

MAS

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“…Modeling of the WiMAX entities and 802.21 protocol was made possible via the Mobility module, developed in the 'Seamless and Secure Mobility' project by the National Institute of Science and Technology (NIST, Gaithersburg, USA) [11], and the modeling of the UMTS entities was made possible via the EURANE module, developed by the European Commission (Brussels, Belgium) 5th Framework Project, 'SEACORN' [12]. An MPEG traffic generation module was leveraged from [13] in order to simulate streaming video or voice.…”

Section: Simulation and Network Configurationmentioning

confidence: 99%

Optimizing end user QoS in heterogeneous network environments using reputation and prediction

Giacomini

Agarwal

2013

J Wireless Com Network

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Telecommunication consumers are fueling a demand for mobile devices that are rapidly increasing in their capability to provide a wider range of services. These services in turn are consuming more bandwidth and require richer quality of service (QoS) in order to ensure a good end user experience when performing activities such as streaming video content or facilitating voice over IP. As a result, network providers are expanding and improving their coverage area while technology to establish Wi-Fi hotspots is becoming more accessible to every day users. This combination of increase in demand and accessibility, coupled with users' ever-increasing expectations for high quality service presents a growing need to seamlessly optimize the use of the overlaid heterogeneous networks in urban areas to maximize the end user experience via the use of a vertical handover mechanism (VHO). Grey systems theory has been used in a wide range of systems including economic, financial, transportation, and military to accurately forecast time series based on limited information. In this paper, we build on a novel reputation-based VHO decision rating system by proposing the use of the grey model first-order one variable, GM(1,1), in the handover decision making progress. The low complexity of the GM(1,1) model allows for a quick and efficient prediction of the future reputation score for a given network, providing deeper insight into the current state of the target network. Furthermore, simulations show that the proposed model, in comparison with the original reputation model, improves the decision capability of a mobile node and helps balance the load across the heterogeneous networks employing its strategy.

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“…We developed a traffic generator [28] that can be used for studying MPEG4 behavior and performance through simulation using the TES methodology [29]- [31]. The traffic we generate closely matches the statistical characteristics (in terms of marginal distribution and auto-correlation function) of an original real trace of an MPEG4-encoded video.…”

Section: B Generating Adaptively-encoded Mpeg4 Using a Transform Expmentioning

confidence: 99%

A real-time video multicast architecture for assured forwarding services

Matrawy

Lambadaris

2005

IEEE Trans. Multimedia

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Abstract-This paper presents our work on developing an architecture for multicasting real-time MPEG4 over IP networks that provide service differentiation. In particular, this work is targeted at assured forwarding (AF) style services. This work is an attempt to find a simple solution to the problem of multicast congestion control of real-time traffic by exploiting the service differentiation capabilities of AF networks. Our architecture assumes loss differentiation in the network and assumes the network's ability to provide explicit congestion notification messages to the sender. We do not consider policing/shaping at the edge routers. Rather, we consider a more general case where packet marking and flow control are provided at the senders. For this network model, we built an end-to-end architecture and developed a rate-adaptation algorithm that can operate in both unicast and multicast applications with a minor modification. The simulation results show how the rate-adaptation algorithm accommodates different receivers with different networking capabilities and provides receivers with different levels of quality by taking advantage of the queue management capabilities of the AF service. We test how the architecture scales to a large number of receivers, how multiple multicast sessions interact, and how it interacts with TCP.Index Terms-Assured forwarding, differentiated services (diffserv), MPEG, multicast, multimedia, real-time, RED, video. I. BACKGROUNDA LARGE number of group communication applications has emerged recently on the Internet. These applications have been the driving force behind the efforts of research and development of the IP Multicast technology. IP Multicast enables multipoint communications over IP networks while preserving bandwidth in a manner that can be extremely significant in cases of large groups. However, deployment of IP multicast services over the Internet has not been as rapid as needed. One of the main factors that contribute to this slow deployment is the lack of a multicast congestion control scheme that can be as robust as its unicast counterparts (e.g., TCP congestion control for reliable unicast).The major challenges in the area of multicast congestion control are as follows.1) The heterogeneity of receivers' networking capabilities as well as the heterogeneity of their QoS-requirements. 2) Maintaining the scalability of the multicast congestion control technique is a difficult task as the number of receivers is unknown to the sender and may grow significantly. From the literature, multicast congestion control techniques can be classified into two categories: the sender-based (single-rate) techniques and the receiver-based (multirate, layered) techniques. All the examples presented here of both categories are pure end-to-end. A. Receiver-Based TechniquesReceiver-based techniques are based on the ability to generate the source data in a layered format and sending the layers as different multicast groups. Each layer contains a subset of the information being sent. Receivers d...

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MPEG4 traffic modeling using the transform expand sample methodology

Cited by 56 publications

References 2 publications

Modeling a Jitter in Telecommunication Data Networks for Studying Adequacy of Traffic Patterns

Modeling a Jitter in Telecommunication Data Networks for Studying Adequacy of Traffic Patterns

Optimizing end user QoS in heterogeneous network environments using reputation and prediction

A real-time video multicast architecture for assured forwarding services

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