Table of Contents Author Guidelines Submit a Manuscript
Mobile Information Systems
Volume 2017, Article ID 8429878, 8 pages
https://doi.org/10.1155/2017/8429878
Research Article

A Traffic Prediction Model for Self-Adapting Routing Overlay Network in Publish/Subscribe System

1College of Computer Science and Technology, Zhejiang University, 38 Zheda Road, Hangzhou, Zhejiang 310027, China
2The Sci-Tech Academy, Zhejiang University, 38 Zheda Road, Hangzhou, Zhejiang 310027, China
3College of Control Science and Engineering, Zhejiang University, 38 Zheda Road, Hangzhou, Zhejiang 310027, China

Correspondence should be addressed to Jianhua Yang; nc.ude.ujz@gnayhj

Received 20 January 2017; Accepted 27 February 2017; Published 30 March 2017

Academic Editor: Jaegeol Yim

Copyright © 2017 Meng Chi et al. This is an open access article distributed under the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.

Abstract

In large-scale location-based service, an ideal situation is that self-adapting routing strategies use future traffic data as input to generate a topology which could adapt to the changing traffic well. In the paper, we propose a traffic prediction model for the broker in publish/subscribe system, which can predict the traffic of the link in future by neural network. We first introduced our traffic prediction model and then described the model integration. Finally, the experimental results show that our traffic prediction model could predict the traffic of link well.