Part of the book series:Lecture Notes in Computer Science ((LNTCS,volume 9531))
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Abstract
Building a controllable, reproducible, and flexible network environment is essential for network behavior research. One key is to generate real traffic data in a virtual network; this helps a virtual network perform as physical network, and further facilitates analysis of the traffic characteristics. However, due to the divergence between physical and virtual network topologies, the traffic generated in virtual network are far from practice. In this paper, we propose a traffic generating approach called IP-Mapping Traffic Replay. We attempt to find an optimal IP mapping from physical network to virtual network by computing the similarity. Once the mapping is known, we replay the traffic data collected from a physical network on associated nodes in the virtual network, so that the generated traffic in the virtual network reflects the trace in physical. We implement IP-Mapping Traffic Replay in a simulated virtual network using NS-3, and conduct a set of experiments to show its effectiveness. The results demonstrate that our approach can replay the traffic data effectively and efficiently in a virtual network that is mapped from physical network.
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References
Park, K., Kim, G., Crovella, M.: On the relationship between file sizes, transport protocols, and self-similar network traffic. In: 1996 International Conference on Network Protocols, 1996. Proceedings, pp. 171–180. IEEE (1996)
Abry, P., Baraniuk, R., Flandrin, P., Riedi, R., Veitch, D.: Multiscale nature of network traffic. Signal Proc. Mag. IEEE19, 28–46 (2002)
Tcpreplay.http://tcpreplay.synfin.net/
Hong, S.-S., Wu, S.: On interactive internet traffic replay. In: Valdes, A., Zamboni, D. (eds.) RAID 2005. LNCS, vol. 3858, pp. 247–264. Springer, Heidelberg (2006)
Omnet++.http://www.omnetpp.org/
Kuo, Z., Kuo, T., Jianfeng, C., Liang, H.: NBTRL: A software platform for network background traffic replay based on log. In: Control Conference, 2007. CCC 2007. Chinese, pp. 607–611. IEEE (2007)
Cheng, Y.-C., Hölzle, U., Cardwell, N., Savage, S., Voelker, G.M.: Monkey see, monkey do: A tool for TCP tracing and replaying. In: Proceedings of the 2004 USENIX Annual Technical Conference (2004)
Wireplay.http://code.google.com/p/wireplay/
Weibo, C., Zhongmin, C., Xiaohong, G., Mingxu, C.: A new method for interactive TCP traffic replay based on balance-checking between transmitted and received packets. Chin. J. Comput.32, 835–846 (2009). Chinese
Huang, C.-Y., et al.: Stateful traffic replay for web application proxies. Secur. Commun. Netw.8(6), 970–981 (2015)
Mirkovic, J., Genevieve, B.: Techreport ISI-TR-699 LegoTG: Composable Traffic Generation with a Custom Blueprint (2015)
Netravali, R., et al.: Mahimahi: Accurate Record-and-Replay for HTTP. In: 2015 USENIX Annual Technical Conference (USENIX ATC 15). USENIX Association (2015)
Van, D.P., Zhanikeev, M., Tanaka, Y.: Effective high speed traffic replay based on IP space. In: 11th International Conference on Advanced Communication Technology, 2009. ICACT 2009, pp. 151–156. IEEE (2009)
Ku, C.-Y., Lin, Y.-D., Lai, Y.-C., Li, P.-H., Lin, K.-J.: Real traffic replay over WLAN with environment emulation. In: Wireless Communications and Networking Conference (WCNC), 2012 IEEE, pp. 2406–2411. IEEE (2012)
Bipartite graph.http://en.wikipedia.org/wiki/Bipartite_graph
Lincoln Laboratory Scenario (DDoS) 1.0.http://www.ll.mit.edu/mission/communications/cyber/CSTcorpora/ideval/data/2000/LLS_DDOS_1.0.html
MStream DDoS.http://staff.washington.edu/dittrich/misc/mstream.analysis.txt
Acknowledgments
This work is supported by National Key Technology Support Program of China (Grant No. 2012BAH46B02).
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Authors and Affiliations
Institute of Information Engineering, Chinese Academy of Science, Beijing, 100093, China
Lun Li, Zhiyu Hao, Yongzheng Zhang, Zhenquan Ding & Haiqiang Fei
- Lun Li
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- Zhiyu Hao
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- Yongzheng Zhang
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- Zhenquan Ding
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- Haiqiang Fei
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Correspondence toZhiyu Hao.
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Editors and Affiliations
Central South University, Changsha, China
Guojun Wang
The University of Sydney, Sydney, New South Wales, Australia
Albert Zomaya
University of Murcia, Murcia, Murcia, Spain
Gregorio Martinez
Hunan University, Changsha, China
Kenli Li
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Li, L., Hao, Z., Zhang, Y., Ding, Z., Fei, H. (2015). Traffic Replay in Virtual Network Based on IP-Mapping. In: Wang, G., Zomaya, A., Martinez, G., Li, K. (eds) Algorithms and Architectures for Parallel Processing. ICA3PP 2015. Lecture Notes in Computer Science(), vol 9531. Springer, Cham. https://doi.org/10.1007/978-3-319-27140-8_48
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