scholarly journals Feasibility study on MPTCP ACK via alternative path in real network environment

2021 ◽  
Author(s):  
Hiroyuki Koibuchi ◽  
Hirotake Abe ◽  
Kazuhiko Kato
2014 ◽  
Vol 933 ◽  
pp. 714-719
Author(s):  
Ke Yi Zhang ◽  
Cheng Long Hao ◽  
Jie Yang ◽  
Jia Qi Fan ◽  
Bo Yu Wang

At present the awareness model of network security situation can only analysis the network security situation of past or current time. The lack of research on this field will affect the security of network. A method based on Kalman algorithm is proposed in this paper, which can forecast the network security situation by using the current and past security situation values. The simulation results show that the proposed algorithm can not only reflect the overall trend of network security situation but also forecast the trend of value effectively. Compared with the traditional GM(1,1), the method has a more predictive value; Compared with RBF algorithm, the method is more applicable to the real network environment.


2011 ◽  
Vol 65 ◽  
pp. 447-450
Author(s):  
Lch Gu ◽  
Zhw Ni ◽  
Zhj Wu

This paper present a new method for the forecasting of network traffic in heterogeneous environment. This research investigates performance evaluation of network interface port on heterogeneous services and technologies environment. We propose an enhanced equation to evaluate the performance of network interface port via Little Law and Queuing theories to improve the evaluation algorithm. To get accuracy results on the performance of simulation model, we measure (verify and validate) data from lab experiment and real network environment. We use network management tool to capture those data and Fluke Optiview device to generate traffic. As a result, this simulation model can provide a good approximation of the real traffic observed in the real network environment. The experimental results indicate that the present method is capable of approximating the performance of network traffic over heterogeneous services and techniques within a minimum error range.


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