@inproceedings{77823f8f71ad47e4bd23d975484f6235,
title = "Network traffic prediction model based on training data",
abstract = "Real-time audio and video services have gained much popularity in last decade, and now occupying a large portion of the total network traffic in the Internet. As the real-time services are becoming mainstream the demand for Quality of Service (QoS) is greater than ever before. To satisfy the increasing demand for QoS, it is necessary to use the network resources to the fullest. In this regards, the available bandwidth based routing is a promising solution. Unfortunately the instantaneous available bandwidth of a network is not enough as it may change the next moment in highly dynamic networks. To solve this issue, we present a prediction model for network traffic, on the basis of which network available bandwidth can be estimated. This paper utilizes the efforts done in regard to road traffic prediction to formulate a prediction model for network traffic.",
keywords = "K-Nearest neighbors, Modeling, Network traffic prediction",
author = "Jinwoo Park and Raza, \{Syed M.\} and Pankaj Thorat and Kim, \{Dongsoo S.\} and Hyunseung Choo",
note = "Publisher Copyright: {\textcopyright} Springer International Publishing Switzerland 2015.; 15th International Conference on Computational Science and Its Applications, ICCSA 2015 ; Conference date: 22-06-2015 Through 25-06-2015",
year = "2015",
doi = "10.1007/978-3-319-21410-8\_9",
language = "English",
isbn = "9783319214092",
series = "Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)",
publisher = "Springer Verlag",
pages = "117--127",
editor = "Gavrilova, \{Marina L.\} and Osvaldo Gervasi and Beniamino Murgante and Sanjay Misra and Carmelo Torre and David Taniar and Apduhan, \{Bernady O.\} and Rocha, \{Ana Maria A.C.\} and Sanjay Misra",
booktitle = "Computational Science and Its Applications - ICCSA 2015 - 15th International Conference, Proceedings",
}