Source Traffic Modeling of Wireless Applications

Tran-Gia, Phuoc; Staehle, Dirk; Leibnitz, Kenji

doi:10.1078/1434-8411-00005

Cited by 58 publications

(41 citation statements)

References 16 publications

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“…Section 3 discusses our videoconference traffic model and its accuracy, and Section 4 presents the Web traffic model that we use in our study (from [35] and [36]). Section 5 presents the adopted error model for the wireless channel, and Section 6 contains the description of our CAC scheme, as well as its conceptual comparison with quite a few CAC schemes of the literature.…”

Section: Second Classification Of Cac Schemesmentioning

confidence: 99%

“…Size of main object: log-normal( is assumed Poisson with rate sessions per second. We do not simulate the Web request viewing time in our adopted data model, as it is done in [36]: We only compute the mean download time needed for a user to download all the Web pages in one Web session. This way, we actually consider a worst case scenario of a user asking for consecutive downloads and then viewing the requested material offline in order to check our system's performance under very bursty data loads.…”

Section: Data Traffic Modelmentioning

confidence: 99%

“…We adopt the Web traffic model presented in [35] and [36], in which the distributions of the random variables concerning the composition of Web requests are the following:…”

Section: Data Traffic Modelmentioning

confidence: 99%

See 2 more Smart Citations

A New Call Admission Control Mechanism for Multimedia Traffic over Next-Generation Wireless Cellular Networks

Chatziperis

Koutsakis

Paterakis

2008

IEEE Trans. on Mobile Comput.

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Abstract-The subject of Call Admission Control (CAC) for wireless networks has been studied extensively in the literature. Another subject on which many researchers have focused their attention is that of video traffic modeling. However, user mobility, combined with the rapidly growing number of "greedy" multimedia applications, in terms of bandwidth and Quality of Service (QoS) requirements, form a challenging and yet unresolved problem for third and fourth-generation wireless networks. In recent work, we have built a Discrete Autoregressive (DAR (1)) model to capture the behavior of multiplexed H.263 videoconference movies from variable bit rate (VBR) coders. Based on this model, we propose in this work a new efficient CAC scheme for wireless cellular networks, which differs from the existing proposals in the literature in that it uses precomputed traffic scenarios combined with online simulation for its decision making. Our scheme is shown, via an extensive simulation study comparison and a conceptual comparison with well-known existing approaches, to clearly excel in terms of QoS provisioning to users receiving videoconference and Web traffic. To the best of our knowledge, this is the first work in the relevant literature where such an approach has been proposed.

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Section: Second Classification Of Cac Schemesmentioning

confidence: 99%

Section: Data Traffic Modelmentioning

confidence: 99%

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A New Call Admission Control Mechanism for Multimedia Traffic over Next-Generation Wireless Cellular Networks

Chatziperis

Koutsakis

Paterakis

2008

IEEE Trans. on Mobile Comput.

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“…Many of these works, similar to that of [75], [114], and [128] have sought to characterize, model and validate the distributions that depict the way individual users and user populations interact with websites. Extrapolating from this body of research, a number papers have made use of and extended these models to simulate web traffic for a number of purposes.…”

Section: Related Workmentioning

confidence: 99%

Exploiting Cloud Utility Models for Profit and Ruin

Idziorek

Tannian

2011

2011 IEEE 4th International Conference on Cloud Computing

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“…Both assumptions are appropriate to interactive applications such as web browsing, see [25] for a coupling between traffic models and actual applications. As a result, the measure for delay is taken to be the mobile's response delay to the oldest activity request taking place while in sleep mode.…”

Section: A Related Workmentioning

confidence: 99%

Optimal Control of Sleep Periods for Wireless Terminals

Azad

Alouf²,

Altman³

et al. 2011

IEEE J. Select. Areas Commun.

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Abstract-We consider a mobile connected to a base station, saving energy by shutting off its transceiver, and we try to answer the fundamental question: what is the optimal sleep policy? Firstly, we study the model from optimal control perspective. We consider off-times (periods of inactivity) of unknown duration. We study the question of scheduling "waking up" instants in which the mobile communicates with the base station and checks whether the inactivity period is over. There is a cost proportional to the delay from the moment the off-time ends until the mobile discovers it, a (small) running cost while the mobile is sleeping and also a cost for waking up.We show that constant sleep periods are optimal for Poisson arrivals and derive the optimal period. We show that this structure does not hold for other off-time distributions but manage to obtain suboptimal solutions which perform strictly better than the constant one. We finally obtain structural properties for optimal policies for the case of arbitrary distribution of off-times.Technological restrictions often permit a limited set of policies to be implemented. Motivated by this, we investigate classes of policies with specific constraints. What is the optimal policy within each class and what are the optimal parameters for it? To answer these questions, we adopt the parametric optimization approach which entails cost minimization for a given parameterized policy and selection of the best policy among a class. We provide the optimal solution for each class which can be used in closed form or evaluated numerically depending on the case. Our framework allows us to compare the performance of obtained optimal policies, proposed suboptimal policies as well as that of standard policies like IEEE 802.16e.

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Source Traffic Modeling of Wireless Applications

Cited by 58 publications

References 16 publications

A New Call Admission Control Mechanism for Multimedia Traffic over Next-Generation Wireless Cellular Networks

A New Call Admission Control Mechanism for Multimedia Traffic over Next-Generation Wireless Cellular Networks

Exploiting Cloud Utility Models for Profit and Ruin

Optimal Control of Sleep Periods for Wireless Terminals

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