Network Traffic Prediction Algorithm and its Practical Application in real network

Authors:
Jun Lv;Tong Li;Xing Li
Affiliations:
Academy of Armored Forced Engineering, Beijing, China;UAcademy of Armored Forced Engineering, Beijing, China;China Education and Research Network, Tsinghua University
Venue:
NPC '07 Proceedings of the 2007 IFIP International Conference on Network and Parallel Computing Workshops
Year:
2007

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Abstract

Due to the complicated and ever-changing characteristics of Internet, network traffic prediction is a very complex and difficult issue in the network management and design. This paper shows a model with a new algorithm (MLSL), which updates the model parameters and improves the adaptive ability of the model. Generating Self-similar series to simulate the network traffic and do some test, the experimental results of simulating and actual network traffic data have proved that this algorithm has the advantage of high accuracy and fast convergence.