On the self-similar nature of Ethernet traffic (extended version)
IEEE/ACM Transactions on Networking (TON)
Data networks as cascades: investigating the multifractal nature of Internet WAN traffic
Proceedings of the ACM SIGCOMM '98 conference on Applications, technologies, architectures, and protocols for computer communication
Challenges in Predictive Self-Adaptation of Service Bundles
WI-IAT '09 Proceedings of the 2009 IEEE/WIC/ACM International Joint Conference on Web Intelligence and Intelligent Agent Technology - Volume 03
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This paper takes use of chaos related theories to analyze the real network traffic about its chaotic properties and prediction attributes. Owning to the good performance of chaos-based prediction in short term forecasting, the prediction-based DiffServ framework and the Dynamic QoS scheme are firstly given in the paper. The OPNET-based simulating result shows that the QoS performaces and the network’s throughputs in heavy-load environment are all improved remarkably, comparing with the traditional static QoS configuring and measure-based dynamic QoS setting methods.