1. A Bayes Theory-Based Modeling Algorithm to End-to-end Network Traffic
- Author
-
Si-wen Zhao, Hong-hao Zhao, Yi Lu, Si-hang Zhao, and Fan-bo Meng
- Subjects
Traffic congestion reconstruction with Kerner's three-phase theory ,lcsh:T58.5-58.64 ,Computer science ,business.industry ,lcsh:Information technology ,Distributed computing ,Floating car data ,Internet traffic engineering ,Traffic flow ,Network traffic control ,Network traffic simulation ,Traffic engineering ,ComputerSystemsOrganization_MISCELLANEOUS ,Computer Science::Networking and Internet Architecture ,business ,Traffic generation model - Abstract
Recently, network traffic has exponentially increasing due to all kind of applications, such as mobile Internet, smart cities, smart transportations, Internet of things, and so on. the end-to-end network traffic becomes more important for traffic engineering. Usually end-to-end traffic estimation is highly difficult. This paper proposes a Bayes theory-based method to model the end-to-end network traffic. Firstly, the end-to-end network traffic is described as a independent identically distributed normal process. Then the Bases theory is used to characterize the end-to-end network traffic. By calculating the parameters, the model is determined correctly. Simulation results show that our approach is feasible and effective.
- Published
- 2016