A new structure-preserving method of sampling for predicting self-similar traffic
The paper presents a structure-preserving method of sampling self-similar traffic with an
application to network monitoring and resource provisioning. Based on the observation of …
application to network monitoring and resource provisioning. Based on the observation of …
On sampling self-similar Internet traffic
G He, JC Hou - Computer Networks, 2006 - Elsevier
Techniques for sampling Internet traffic are very important to understand the traffic
characteristics of the Internet [A. Feldmann, A. Greenberg, C. Lund, N. Reingold, J. Rexford …
characteristics of the Internet [A. Feldmann, A. Greenberg, C. Lund, N. Reingold, J. Rexford …
Packet size process modeling of measured self-similar network traffic with defragmentation method
M Fras, J Mohorko, Z Cucej - 2008 15th International …, 2008 - ieeexplore.ieee.org
Analysis and modeling of telecommunication networks by simulations has become one of
the main tools in the process of telecommunication-networks' planning and upgrading …
the main tools in the process of telecommunication-networks' planning and upgrading …
WPANFIS: combine fuzzy neural network with multiresolution for network traffic prediction
LI Rui, JY Chen, YJ Liu, ZK Wang - The Journal of China Universities of …, 2010 - Elsevier
A novel methodology for prediction of network traffic, WPANFIS, which relies on wavelet
packet transform (WPT) for multi-resolution analysis and adaptive neuro-fuzzy inference …
packet transform (WPT) for multi-resolution analysis and adaptive neuro-fuzzy inference …
An in-depth, analytical study of sampling techniques for self-similar internet traffic
G He, JC Hou - … on Distributed Computing Systems (ICDCS'05), 2005 - ieeexplore.ieee.org
Techniques for sampling Internet traffic are very important to understand the traffic
characteristics of the Internet [14, 8]. In spite of all the research efforts on packet sampling …
characteristics of the Internet [14, 8]. In spite of all the research efforts on packet sampling …
Multiresolution traffic prediction: Combine RLS algorithm with wavelet transform
Y Luan - International Conference on Information Networking, 2005 - Springer
Numerous research in the literature has convincingly demonstrated the widespread
existence of self-similarity in network traffic. Self-similar traffic has infinite variance and long …
existence of self-similarity in network traffic. Self-similar traffic has infinite variance and long …
Fitting self-similar traffic by a superposition of MMPPs modeling the distribution at multiple time scales
Measuring and modeling network traffic is of key importance for the traffic engineering of IP
networks, due to the growing diversity of multimedia applications and the need to efficiently …
networks, due to the growing diversity of multimedia applications and the need to efficiently …
A new hybrid network traffic prediction method
How to predict the self-similar network traffic with high burstiness is a great challenge for
network management. The covariation orthogonal prediction could effectively capture the …
network management. The covariation orthogonal prediction could effectively capture the …
Network traffic prediction using least mean kurtosis
Recent studies of high quality, high resolution traffic measurements have revealed that
network traffic appears to be statistically self similar. Contrary to the common belief …
network traffic appears to be statistically self similar. Contrary to the common belief …
Sample based estimation of network traffic flow characteristics
L Yang - 2009 - search.proquest.com
Understanding the characteristics of traffic flows is crucial for allocating the necessary
resources (bandwidth) to accommodate users demand. In this dissertation research, the …
resources (bandwidth) to accommodate users demand. In this dissertation research, the …