Results 1 - 10 of 623

Multicast-Based Inference of Network-Internal Characteristics: Accuracy of Packet Loss Estimation

by R. Caceres, N.G. Duffield, J. Horowitz, D. Towsley, T. Bu - IEEE Transactions on Information Theory , 1998
"... We explore the use of end-to-end multicast traffic as measurement probes to infer network-internal characteristics. We have developed in an earlier paper [2] a Maximum Likelihood Estimator for packet loss rates on individual links based on losses observed by multicast receivers. This technique explo ..."
Abstract - Cited by 323 (40 self) - Add to MetaCart
. In particular, we report on the error between inferred loss rates and actual loss rates as we vary the network topology, propagation delay, packet drop policy, background traffic mix, and probe traffic type. In all but one case, estimated losses and probe losses agree to within 2 percent on average. We feel

Traffic Matrix Estimation: Existing Techniques and New Directions

by A. Medina , N. Taft , K. Salamatian , S. Bhattacharyya , C. Diot , 2002
"... Very few techniques have been proposed for estimating traffic matrices in the context of Internet traffic. Our work on POP-to-POP traffic matrices (TM) makes two contributions. The primary contribution is the outcome of a detailed comparative evaluation of the three existing techniques. We evaluate ..."
Abstract - Cited by 208 (14 self) - Add to MetaCart
Very few techniques have been proposed for estimating traffic matrices in the context of Internet traffic. Our work on POP-to-POP traffic matrices (TM) makes two contributions. The primary contribution is the outcome of a detailed comparative evaluation of the three existing techniques. We evaluate

Traffic-Aware Channel Sensing Order in Dynamic Spectrum Access Networks

by Chun-hao Liu, Jason A. Tran, Student Member, Przemysław Pawełczak, Cabric Member Ieee
"... Abstract—In this paper we present new results on the problem of finding the best channel sensing order for multi-channel Dynamic Spectrum Access (DSA) networks. We start with the general assumption that all Secondary Users (SUs) cooperatively sense each Primary User (PU) channel at one time. Then, t ..."
Abstract - Cited by 3 (1 self) - Add to MetaCart
on the quality of PU traffic estimation. We adopt a maximum likelihood estimator to estimate the traffic statistics of PU channels and derive the Cramér-Rao (CR) bounds for the PU traffic estimation performance. Based on the CR bound and its Gaussian approximation, we analyze the impact of the estimation error

Traffic Engineering with Estimated Traffic Matrices

by Matthew Roughan , Mikkel Thorup, Yin Zhang - IMC'03 , 2003
"... Traffic engineering and traffic matrix estimation are often treated as separate fields, even though one of the major applications for a traffic matrix is traffic engineering. In cases where a traffic matrix cannot be measured directly, it may still be estimated from indirect data (such as link measu ..."
Abstract - Cited by 68 (12 self) - Add to MetaCart
measurements), but these estimates contain errors. Yet little thought has been given to the effects of inexact traffic estimates on traffic engineering. In this paper we consider how well traffic engineering works with estimated traffic matrices in the context of a specific task; namely that of optimizing

Estimating Traffic Parameters with Rigorous Error Control ∗

by Xinjia Chen , 2008
"... To perform a queuing analysis or design in a communications context, we need to estimate the values of the input parameters, specifically the mean of the arrival rate and service time. In this paper, we propose an approach for estimating the arrival rate of Poisson processes and the average service ..."
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is that no a priori information about the parameter is needed. In contrast to conventional methods such as, standard error estimation and confidence interval construction, which only provides post-experimental evaluations of the estimate, this approach allows experimenters to rigorously control the error

Inferring Link Loss Using Striped Unicast Probes

by N.G. Duffield, F. Lo Presti, V. Paxson, D. Towsley , 2001
"... In this paper we explore the use of end-to-end unicast traffic as measurement probes to infer link-level loss rates. We leverage off of earlier work that produced efficient estimates for link-level loss rates based on end-to-end multicast traffic measurements. We design experiments based on the noti ..."
Abstract - Cited by 139 (13 self) - Add to MetaCart
In this paper we explore the use of end-to-end unicast traffic as measurement probes to infer link-level loss rates. We leverage off of earlier work that produced efficient estimates for link-level loss rates based on end-to-end multicast traffic measurements. We design experiments based

Charging from Sampled Network Usage

by Nick Duffield, Carsten Lund, Mikkel Thorup , 2001
"... IP flows have heavy-tailed packet and byte size distributions. This make them poor candidates for uniform sampling---i.e. selecting 1 in N flows---since omission or inclusion of a large flow can have a large effect on estimated total traffic. Flows selected in this manner are thus unsuitable for use ..."
Abstract - Cited by 113 (13 self) - Add to MetaCart
IP flows have heavy-tailed packet and byte size distributions. This make them poor candidates for uniform sampling---i.e. selecting 1 in N flows---since omission or inclusion of a large flow can have a large effect on estimated total traffic. Flows selected in this manner are thus unsuitable

Traffic sign classification using error correcting techniques

by Sergio Escalera, Petia Radeva, Oriol Pujol - VISAPP 2007 - International Conference on Computer Vision Theory and Applications , 2007
"... Traffic sign classification is a challenging problem in Computer Vision due to the high variability of sign appearance in uncontrolled environments. Lack of visibility, illumination changes, and partial occlusions are just a few problems. In this paper, we introduce a classification technique for tr ..."
Abstract - Cited by 4 (0 self) - Add to MetaCart
for traffic signs recognition by means of Error Correcting Output Codes. Recently, new proposals of coding and decoding strategies for the Error Correcting Output Codes framework have been shown to be very effective in front of multiclass problems. We review the state-of-the-art ECOC strategies

Requirements for Motion Estimation in Image Sequences for Traffic Applications

by Van Leeuwen Groen, M. B. Van Leeuwen, F. C. A. Groen, A. Dev - In Proc. IEEE Instrum. and Meas. Conf , 1999
"... In traffic applications research in devices that can increase the safety and comfort of vehicles is an important topic. In this paper a digital rear-view mirror is presented that helps the driver to analyse situations on the road behind him. From the observations from a camera the optical motion in ..."
Abstract - Cited by 3 (3 self) - Add to MetaCart
in the image plane can be estimated. Based on this motion estimation the real-world motion of the vehicles behind our car is interpreted. The motion interpretation problem is very sensitive for errors introduced in the motion estimation. This paper describes a method that shows how accurate the motion

Optimal Filtering in Traffic Estimation for Bandwidth Brokers

by T. Anjali, C. Bruni, D. Iacoviello, G. Koch, C. Scoglio, S. Vergari - in Proceedings of IEEE GLOBECOM’03 , 2003
"... Abstract- In this paper we present a method for an on-line traffic optimal estimation on a communication link. The proposed filtering procedure is based on a traffic model constituted of a birth and death process, elaborates the current noisy measurements from the link and minimizes the estimate err ..."
Abstract - Cited by 2 (0 self) - Add to MetaCart
Abstract- In this paper we present a method for an on-line traffic optimal estimation on a communication link. The proposed filtering procedure is based on a traffic model constituted of a birth and death process, elaborates the current noisy measurements from the link and minimizes the estimate
Results 1 - 10 of 623