Paper Info
Title
Available bandwidth estimation in smart VPN bonding technique based on a NARX neural network
Abstract
Today many applications require a high Quality of Service (QoS) to the network, especially for real time applications like VoIP services, video/audio conferences, video surveillance, high definition video transmission, etc. Besides, there are many application scenarios for which it is essential to guarantee high QoS in high speed mobility context using an Internet Mobile access. However, internet mobile networks are not designed to support the real-time data traffic due to many factors such as resource sharing, traffic congestion, radio link, coverage, etc., which affect the Quality of Experience (QoE). In order to improve the QoS in mobility scenarios, the authors propose a new technique named “Smart VPN Bonding” which is based on aggregation of two or more internet mobile accesses and is able to provide a higher end-to-end available bandwidth due to an adaptive load balancing algorithm. In this paper, in order to dynamically establish the correct load balancing weights of the smart VPN bonder, a neural network approach to predict the main Key Performance Indicators (KPIs) values in a determinate geographical point is proposed.
Year
DOI
Venue
2017
10.15439/2017F401
2017 Federated Conference on Computer Science and Information Systems (FedCSIS)
Keywords
Field
DocType
Smart VPN Bonding,bandwidth prediction,QoS improvement,Neural Network Introduction
Load management,Mobile QoS,Computer science,Load balancing (computing),Quality of service,Computer network,Quality of experience,Mobile telephony,Voice over IP,The Internet
Conference
ISSN
ISBN
Citations 
2325-0348
978-1-5090-4414-6
0
PageRank 
References 
Authors
0.34
7
7
Name
Order
Citations
PageRank
Giacomo Capizzi16011.94
Grazia Lo Sciuto2428.75
Francesco Beritelli3399.48
Francesco Scaglione400.34
Dawid Polap518628.52
Kamil Ksiazek683.87
Marcin Wozniak722338.18