bandwidth estimation
Available bandwidth estimation in IEEE 802.11-based wireless networks
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Available bandwidth estimation is a vital component of admission control for quality-of- service (QoS) in both wireline as well as wireless networks. In wireless networks, the available bandwidth undergoes fast time-scale variations due to channel fading and error
ABwE: A practical approach to available bandwidth estimation
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We report on a new tool developed for monitoring available bandwidth in the range from several Mbits/s to 1000 Mbits/s. The tool is based on the packet pair dispersion technique. It has been in experimental use at SLAC for several months and it has been demonstrated at
Review of bandwidth estimation techniques
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The Internet is changing rapidly. One of the consequences of this change is a growing need for higher quality of service. A corollary of the need for higher quality of service is the need for accurate and extensive measurement, including the need to measure bandwidth
Exploiting internet route sharing for large scale available bandwidth estimation
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Recent progress in active measurement techniques has made it possible to estimate end-to- end path available bandwidth . However, how to efficiently obtain available bandwidth information for the N2 paths in a large N-node system remains an open problem. While
New modifications of the exponential moving average algorithm for bandwidth estimation
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In this paper, we describe three different modifications of the Exponential Moving Average (EMA) algorithm that can be used for bandwidth estimation . Bandwidth estimation algorithms have to be deployed by nodes in connectionless networks (eg IP networks) that perform
Multi-hop probing asymptotics in available bandwidth estimation : stochastic analysis
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This paper analyzes the asymptotic behavior of packet-train probing over a multi-hop network path P carrying arbitrarily routed bursty cross-traffic flows. We examine the statistical mean of the packet-train output dispersions and its relationship to the input dispersion. We
Progress in data-based bandwidth selection for kernel density estimation
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We review the extensive recent literature on automatic, data-based selection of a global smoothing parameter in univariate kernel density estimation . Proposals are presented in a unified framework, making considerable reference to their theoretical properties as we go
Qos multicast routing based on bandwidth estimation in mobile ad Hoc networks
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The need for supporting real time and multimedia applications for users of Mobile Ad hoc Network (MANET) is becoming essential. Mobile ad hoc networks can provide multimedia users with mobility they demand, if efficient QoS multicast strategies were developed. In our
Bandwidth selectors for multivariate kernel density estimation
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Kernel density estimation is an important data smoothing technique. It has been applied most successfully for univariate data whilst for multivariate data its development and implementation have been relatively limited. The performance of kernel density estimators
Bandwidth selection for nonparametric distribution estimation
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The classic nonparametric estimator of the distribution function is the empirical distribution function (EDF). This estimator is widely used in practice despite the known fact that smoothing can produce ef- ficiency gains in finite samples. Proposals to use kernel smoothing for distribution estimation
Improving available bandwidth estimation using averaging filtering techniques
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End-to-end available bandwidth estimation is very important for bandwidth dependent applications, quality-of-service verification and traffic engineering. Although several techniques and tools have been developed in the past, producing precise estimations in real
Statistical estimation of effective bandwidth .
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Effective bandwidth , a transformation of the large deviations rate function is presented. A survey of common teletraffic models follows. Confidence intervals for the effective bandwidth of a wide variety of traffic streams are developed, including Poisson streams, fractional
Spatio-temporal available bandwidth estimation for high-speed networks
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We present a new packet dispersion based active probing scheme for available bandwidth estimation that (1) overcomes system I/O bandwidth limitations on high-speed (> 1Gbps) networks and (2) determines the location of a paths tight link. The scheme is based on the
End-to-end bandwidth estimation in TCP to improve wireless link utilization
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ABSTRACT TCP Westwood (TCPW) is a sender-side only modification of TCP Reno congestion control that exploits an end-to-end bandwidth estimation mechanism to set the values of Slow-Start-Threshold and Congestion-Window after a congestion episode, that is
Bandwidth selection for weighted kernel density estimation
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Weighted kernel-density estimates (wKDE) are broadly used in many statistical areas, for instant, density estimation under right-censoring. However, bandwidth selection could be a problem by reweighting the kernels. In this paper, we investigate the methods of bandwidth
Wimeter: A novel technique for available bandwidth estimation in WLANs and its assistance in QoS provisioning
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Page 1. 1 Wimeter: a novel technique for available bandwidth estimation in WLANs and its assistance to QoS provisioning Fethi Filali Assistant Professor Institut Eur com, Mobile Communications http://www.eurecom.fr/~filali Eurecom Seminar Series June 1st Fethi
On The Effective Bandwidth Estimation In Communication Network.
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In this paper we apply regenerative method to estimate the required effective bandwidth (EB) of a station in an acyclic communication network. Earlier this problem for a tandem network has been addresses in . We give a brief introduction to the EB theory and then
End-to-end available bandwidth estimation using HybChirp
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The available bandwidth is a crucial metric of networks performance which is applied in congestion control, route selection, traffic analysis and QoS management. PathChirp is a well-known tool to estimate available bandwidth based on an approach of self-induced
Bayesian Bandwidth Estimation in Nonparametric Time Varying Coefficient Models
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Bandwidth plays an important role in determining the performance of nonparametric estimators, such as the local constant estimator. In this paper, we propose a Bayesian approach to bandwidth estimation for local constant estimators of time varying coefficients
Inline path characteristic estimation to improve TCP performance in high bandwidth -delay networks
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BBE ( Bandwidth and Buffer Estimations) and associated path characteristics estimation techniques over large pipes. Our study addresses the accuracy of our inline estimation methods used in TCPW BBE. Buffer size, capacity, and achieved rate estimation are used in
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