An Estimating Traffic Scheme Based on Adaline

Authors:
Fengjun Shang
Affiliations:
College of Computer Science and Technology, Chongqing University of Posts and Telecommunications, Chongqing, China 400065
Venue:
ISNN '08 Proceedings of the 5th international symposium on Neural Networks: Advances in Neural Networks, Part II
Year:
2008

Citing 5
Cited 0

Trajectory sampling for direct traffic observation

IEEE/ACM Transactions on Networking (TON)
Traffic matrix estimation: existing techniques and new directions

Proceedings of the 2002 conference on Applications, technologies, architectures, and protocols for computer communications
An Efficient Algorithm for Real-Time Estimation and Prediction of Dynamic OD Tables

Operations Research
A management and control architecture for providing IP differentiated services in MPLS-based networks

IEEE Communications Magazine
NetScope: traffic engineering for IP networks

IEEE Network: The Magazine of Global Internetworking

Quantified Score

Hi-index	0.00

Visualization

Abstract

In order to manage the whole network, a novel estimating traffic scheme is proposed, called the Adaline model. In this model, there are two parts of works. Firstly, an Adaline network is proposed and implemented for estimating traffic. By using the Adaline network, we are able to overcome the challenge of ill-posed nature of the problem. Secondly, in order to optimize solutions, a prior knowledge is introduced. By using prior, the error is reduced markedly. Numeral result shows our model achieves better performance than the existing representative methods.