Abstract
The burst ratio is a parameter of the packet loss process, characterizing the tendency of losses to group together, in long series. Such series of losses are especially unwelcome in multimedia transmissions, which constitute a large fraction of contemporary traffic. In this paper, we first present and discuss results of measurements of the burst ratio in IP traffic, at a bottleneck link of our university campus. The measurements were conducted in various network conditions, i.e. various loads, ports/applications used and packet size distributions. Secondly, we present theoretical values of the burst ratio, computed using a queueing model, and compare them with the values obtained in the measurements.
This work was conducted within project 2017/25/B/ST6/00110, founded by National Science Centre, Poland.
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References
Mongay Batalla, J., et al.: Adaptive video streaming: rate and buffer on the track of minimum re-buffering. IEEE J. Sel. Areas Commun. 34(8), 2154–2167 (2016)
McGowan, J.W.: Burst ratio: a measure of bursty loss on packet-based networks, 16 2005. US Patent (2005)
ITU-T Recommendation G.113: Transmission impairments due to speech processing. Technical report (2007)
Samociuk, D., Chydzinski, A., Barczyk, M.: Experimental measurements of the packet burst ratio parameter. In: Kozielski, S., Mrozek, D., Kasprowski, P., Małysiak-Mrozek, B., Kostrzewa, D. (eds.) BDAS 2018. CCIS, vol. 928, pp. 455–466. Springer, Cham (2018). https://doi.org/10.1007/978-3-319-99987-6_35
Sanneck H.A., Carle, G.: Framework model for packet loss metrics based on loss runlengths. In: Proceedings of Multimedia Computing and Networking, pp. 1–11 (2000)
Jiang, W., Schulzrinne, H.: Modeling of packet loss and delay and their effect on real-time multimedia service quality. In: Proceedings of NOSSDAV, pp. 1–10 (2000)
Veeraraghavan, M., Cocker, N., Moors, T.: Support of voice services in IEEE 802.11 wireless LANs. In: Proceedings of IEEE INFOCOM, vol. 1, pp. 488–497 (2001)
Hasslinger, G., Hohlfeld, O.: The Gilbert-Elliott model for packet loss in real time services on the Internet. In: Proceedings of Measuring, Modelling and Evaluation of Computer and Communication Systems Conference, pp. 1–15 (2008)
Clark, A.: Modeling the effects of burst packet loss and recency on subjective voice quality. In: Proceedings of Internet Telephony Workshop, pp. 123–127 (2001)
Rachwalski, J., Papir, Z.: Burst ratio in concatenated Markov-based channels. J. Telecommun. Inf. Technol. 1, 3–9 (2014)
Rachwalski, J., Papir, Z.: Analysis of burst ratio in concatenated channels. J. Telecommun. Inf. Technol. 4, 65–73 (2015)
Chydzinski, A., Samociuk, D.: Burst ratio in a single-server queue. Telecommun. Syst. 70, 263–276 (2019)
Chydzinski, A., Samociuk, D., Adamczyk, B.: Burst ratio in the finite-buffer queue with batch Poisson arrivals. Appl. Math. Comput. 330, 225–238 (2018)
Samociuk, D., Chydzinski, A.: On the impact of the dropping function on the packet queueing performance. In: Proceedings of International Convention on Information and Communication Technology, Electronics and Microelectronics, pp. 473–478 (2018)
Smolka, B., et al.: New filtering technique for the impulsive noise reduction in color images. Math. Probl. Eng. 2004(1), 79–91 (2004)
Benko, P., Veres, A.: A passive method for estimating end-to-end TCP packet loss. In: Proceedings of IEEE GLOBECOM 2002, pp. 2609–2613 (2002)
Bolot, J.: End-to-end packet delay and loss behavior in the Internet. In: Proceedings of ACM SIGCOMM 1993, pp. 289–298 (1993)
Coates, M., Nowak, R.: Network loss inference using unicast end-to-end measurement. In: Proceedings of ITC Conference on IP Traffic, Measurement and Modeling, pp. 282–289 (2000)
Duffield, N., Presti, F.L., Paxson, V., Towsley, D.: Inferring link loss using striped unicast probes. In: Proceedings of IEEE INFOCOM 2001, pp. 915–923 (2001)
Sommers, J., Barford, P., Duffield, N., Ron, A.: Improving accuracy in end-to-end packet loss measurement. ACM SIGCOMM Comput. Commun. Rev. 35(4), 157–168 (2005)
Takagi, H.: Queueing Analysis - Finite Systems. North-Holland, Amsterdam (1993)
Chydzinski, A., Wojcicki, R., Hryn, G.: On the number of losses in an MMPP queue. In: Koucheryavy, Y., Harju, J., Sayenko, A. (eds.) NEW2AN 2007. LNCS, vol. 4712, pp. 38–48. Springer, Heidelberg (2007). https://doi.org/10.1007/978-3-540-74833-5_4
Chydzinski, A., Mrozowski, P.: Queues with dropping functions and general arrival processes. PLoS One 11(3), e0150702 (2016)
Yu, X., Modestino, J.W., Tian, X.: The accuracy of Gilbert models in predicting packet-loss statistics for a single-multiplexer network model. In: Proceedings of IEEE INFOCOM 2005, pp. 2602–2612 (2005)
Cidon, I., Khamisy, A., Sidi, M.: Analysis of packet loss processes in high-speed networks. IEEE Trans. Inf. Theory 39(1), 98–108 (1993)
Bratiychuk, M., Chydzinski, A.: On the loss process in a batch arrival queue. Appl. Math. Model. 33(9), 3565–3577 (2009)
DPDK-Dump application for capturing traffic using DPDK. https://github.com/marty90/DPDK-Dump
TCPmkpub. http://www.icir.org/enterprise-tracing/tcpmkpub.html
Jinliang, F., Jun, X., Mostafa, H.A.: Prefix-preserving IP address anonymization. Comput. Netw. 46(2), 253–272 (2004)
Jinliang, F., Jun, X., Mostafa, H.A.: On the design and performance of prefix-preserving IP traffic trace anonymization. In: Proceedings of ACM SIGCOMM Internet Measurement Workshop, San Francisco (2001)
Jinliang, F., Jun, X., Mostafa, H.A.: Prefix-preserving IP address anonymization: measurement-based security evaluation and a new cryptography-based scheme. In: Proceedings of IEEE International Conference on Network Protocols, Paris (2002)
Chydzinski, A.: Duration of the buffer overflow period in a batch arrival queue. Perform. Eval. 63(4–5), 493–508 (2006)
Fischer, W., Meier-Hellstern, K.: The Markov-modulated Poisson process (MMPP) cookbook. Perform. Eval. 18(2), 149–171 (1992)
Lucantoni, D.M.: New results on the single server queue with a batch Markovian arrival process. Commun. Stat. Stoch. Models 7(1), 1–46 (1991)
Chydzinski, A.: Queue size in a BMAP queue with finite buffer. In: Koucheryavy, Y., Harju, J., Iversen, V.B. (eds.) NEW2AN 2006. LNCS, vol. 4003, pp. 200–210. Springer, Heidelberg (2006). https://doi.org/10.1007/11759355_20
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Samociuk, D., Barczyk, M., Chydzinski, A. (2019). Measuring and Analyzing the Burst Ratio in IP Traffic. In: Li, Q., Song, S., Li, R., Xu, Y., Xi, W., Gao, H. (eds) Broadband Communications, Networks, and Systems. Broadnets 2019. Lecture Notes of the Institute for Computer Sciences, Social Informatics and Telecommunications Engineering, vol 303. Springer, Cham. https://doi.org/10.1007/978-3-030-36442-7_6
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