Research on analysis model based on network traffic nature
Xiaoling Tan
Abstract
Xiaoling Tan
Abstract
An analytic research on establishing different traffic models on the traffic nature of different time granularity can provide necessary academic foundation for network design and simulation as well as ensuring the quality of service and network management. This paper aims to make simulant predication by means of corresponding math tools on the modeling of real traffic of the different time granularity. The experimental results indicate that the predicated traffic is close to the real traffic distribution.
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An analytic research on establishing different traffic models on the traffic nature of different time granularity can provide necessary academic foundation for network design and simulation as well as ensuring the quality of service and network management. This paper aims to make simulant predication by means of corresponding math tools on the modeling of real traffic of the different time granularity. The experimental results indicate that the predicated traffic is close to the real traffic distribution.
Key concepts: Granularity, Traffic generation model, Network traffic simulation, Computer science, Quality of service, Traffic classification, Traffic shaping, Data mining