Name
Title | ||
|---|---|---|
High Performance NetFPGA and Multi-fractal Wavelet Model Based Network Traffic Generator. |
Abstract | ||
|---|---|---|
Internet traffic generator plays very important roles in network measurement and management field.A distributed digital filter is designed in this paper,which united with Multi-fractal Wavelet model(MWM) to generate network traffic data, then a network traffic generator was researched and implemented on the NetFPGA platform. Experiment result shows that the designed network traffic generator has good ability to generate traffic in accordance with the real network condition. More importantly, the generated traffic shows the characters of self similar and multi-fractal, which are two of the most important features of real Internet traffic. With high speed network packets process ability of the NetFPGA Platform, the designed network traffic generator can generate traffic on a highest speed of 10Giabit/s. The designed network traffic generator displays the distinct advantages in performance and real condition simulation ability contract to the invented works. |
Year | Venue | Field |
|---|---|---|
2015 | ICSI | Computer science,Floating car data,Real-time computing,Artificial intelligence,Traffic shaping,NetFPGA,Internet traffic,Traffic generation model,Simulation,Internet traffic engineering,Network traffic control,Network traffic simulation,Machine learning |
DocType | Citations | PageRank |
Conference | 0 | 0.34 |
References | Authors | |
4 | 5 | |
Name | Order | Citations | PageRank |
|---|---|---|---|
| Zhenxiang Chen | 1 | 111 | 22.20 |
| Keke Wang | 2 | 0 | 0.68 |
| Lizhi Peng | 3 | 285 | 23.43 |
| Tao Sun | 4 | 120 | 15.48 |
| Lei Zhang | 5 | 28 | 5.07 |