Research on Large-scale Network Traffic Model
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DOI: 10.23977/icamcs.2018.036
Corresponding Author
Zhongqi Xin
ABSTRACT
This paper analyzes the current network traffic model, and studies and discusses the related problems of network traffic simulation. It proposes a multi-level queue flow selection NSTS algorithm and out-of-order simulation PDRS algorithm based on network self-similarity. A generator TSG capable of generating a self-similar network stream in a single machine or distributed simulates the generation of network traffic with self-similarity by aggregating multiple ON/OFF sources that are subject to Pareto distribution. It can be seen from the actual simulation results that the generator can simulate the main network protocols, common network conditions and self-similarity of the network. The actual test shows that TSG meets the design requirements and meets the relevant research and testing work of UTM.
KEYWORDS
Network, ON/OFF model, TSG, self-similarity