A Traffic Prediction Model for Self-Adapting Routing Overlay Network in PublishSubscribe System
Joint Authors
Chi, Meng
Liu, Yabo
Li, Zhenhui
Yang, Jianhua
Source
Issue
Vol. 2017, Issue 2017 (31 Dec. 2017), pp.1-8, 8 p.
Publisher
Hindawi Publishing Corporation
Publication Date
2017-03-30
Country of Publication
Egypt
No. of Pages
8
Main Subjects
Telecommunications Engineering
Abstract EN
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.
American Psychological Association (APA)
Chi, Meng& Yang, Jianhua& Liu, Yabo& Li, Zhenhui. 2017. A Traffic Prediction Model for Self-Adapting Routing Overlay Network in PublishSubscribe System. Mobile Information Systems،Vol. 2017, no. 2017, pp.1-8.
https://search.emarefa.net/detail/BIM-1189225
Modern Language Association (MLA)
Chi, Meng…[et al.]. A Traffic Prediction Model for Self-Adapting Routing Overlay Network in PublishSubscribe System. Mobile Information Systems No. 2017 (2017), pp.1-8.
https://search.emarefa.net/detail/BIM-1189225
American Medical Association (AMA)
Chi, Meng& Yang, Jianhua& Liu, Yabo& Li, Zhenhui. A Traffic Prediction Model for Self-Adapting Routing Overlay Network in PublishSubscribe System. Mobile Information Systems. 2017. Vol. 2017, no. 2017, pp.1-8.
https://search.emarefa.net/detail/BIM-1189225
Data Type
Journal Articles
Language
English
Notes
Includes bibliographical references
Record ID
BIM-1189225