Available Bandwidth Estimation in Smart VPN Bonding Technique based on a NARX Neural Network
| Autor: | Marcin Wozniak, Kamil Ksiazek, Francesco Beritelli, Francesco Scaglione, Dawid Połap, Grazia Lo Sciuto, Giacomo Capizzi |
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| Jazyk: | angličtina |
| Rok vydání: | 2017 |
| Předmět: |
Voice over IP
business.industry Computer science Quality of service 020206 networking & telecommunications 02 engineering and technology Mobile QoS Load balancing (computing) 021001 nanoscience & nanotechnology Load management Smart VPN Bonding QoS improvement 0202 electrical engineering electronic engineering information engineering bandwidth prediction Smart VPN Bonding bandwidth prediction QoS improvement Neural Network Introduction The Internet Mobile telephony Quality of experience 0210 nano-technology business Computer network Neural Network Introduction |
| Zdroj: | FedCSIS |
| Popis: | 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. |
| Databáze: | OpenAIRE |
| Externí odkaz: |
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