Presentation 2009-06-12
Network Traffic Prediction for Network Quality Anomaly Detection by RTP Communication Monitoring
Satoshi IKADA, Nobuyuki NAKAMURA, Yoshitaka HAMAGUCHI,
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Abstract(in English) Recently, NGN have been expected to keep required QoS because their architecture equip QoS management and various QoS evaluation methods have proposed. However, such methods calculate end-to-end QoS of a flow practically, so that we cannot grasp where the cause of the problem exists on the networks even though QoS degradation is reported. Therefore it is necessary to develop yet another measure of network quality by monitoring network traffics. In this paper, we propose a network traffic prediction method for network quality anomaly detection on Next Generation Networks (NGN). We show that our prediction method using both wavelet transformation and neural networks in detail.
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Keyword(in English) network traffic prediction / neural network / wavelet analysis
Paper # IN2009-24
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Committee IN
Conference Date 2009/6/4(1days)
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Language JPN
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Title (in English) Network Traffic Prediction for Network Quality Anomaly Detection by RTP Communication Monitoring
Sub Title (in English)
Keyword(1) network traffic prediction
Keyword(2) neural network
Keyword(3) wavelet analysis
1st Author's Name Satoshi IKADA
1st Author's Affiliation Corporate Research and Development Center, Oki Electric Industry Co., Ltd.()
2nd Author's Name Nobuyuki NAKAMURA
2nd Author's Affiliation Corporate Research and Development Center, Oki Electric Industry Co., Ltd.
3rd Author's Name Yoshitaka HAMAGUCHI
3rd Author's Affiliation Corporate Research and Development Center, Oki Electric Industry Co., Ltd.
Date 2009-06-12
Paper # IN2009-24
Volume (vol) vol.109
Number (no) 79
Page pp.pp.-
#Pages 6
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