Abstract
In this study, we propose a bandwidth-aware scaling mechanism for rate adaptive video streaming. This mechanism involves estimation of the capacity of the network dynamically by measuring bottleneck bandwidth and available bandwidth values. By taking the available bandwidth as an upper limit, the sender adjusts its output rate accordingly. While increasing the quality of the video, using a bandwidth estimator instead of probing prevents the congestion generated by the streaming application itself. The results of the bandwidth-aware algorithm are compared with that of a similar algorithm with no bandwidth-aware scaling and the improvement is demonstrated with measurements taken over WAN.
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References
Wang, L.: Rate Control for MPEG Video Coding. Signal Processing: Image Communications 15, 493–511 (2000)
Girod, B.: Scalable Video for Multimedia Systems. Computers & Graphics 17(3), 269–276 (1993)
Sadka, A.H.: Compressed Video Communications. John Wiley & Sons, Ltd, Chichester (2002)
Tunalı, T., Kantarcı, A., Özbek, N.: Robust Quality Adaptation for Internet Video Streaming. Accepted to be published in Journal of Multimedia Tools and Applications. Kluwer Academics. Tunalı
Kantarcı, A., Özbek, N., Tunalı, T.: Rate Adaptive Video Streaming Under Lossy Network Conditions. Elsevier Science Image Communications 19(6), 479–497 (2004)
Jacobson, V.: Pathchar-a Tool to Infer Characteristics of Internet Paths. Presented at the Mathematical Sciences Research Institute, MSR1 (1997)
Lai, K., Baker, M.: Nettimer: A Tool For Measuring Bottleneck Link Bandwidth. In: Proceedings of the USENIX Symposium on Internet Technologies and Systems (2001)
Carter, R.L., Crovella, M.E.: Measuring Bottleneck Link Speed in Packet-Switched Networks. Performance Evaluation 27(28), 297–318 (1996)
Jain, M., Dovrolis, C.: Pathload: A Measurement Tool for End-to-end Available Bandwidth. In: Proceedings of Passive and Active Measurements (PAM) Workshop (2002)
Hu, N., Steenkiste, P.: Evaluation and Characterization of Available Bandwidth Probing Techniques. IEEE Journal on Selected Areas in Communications 21(6) (2003)
Ribeiro, V., Riedi, R., Baraniuk, R., Navratil, J., Cottrell, L.: PathChirp: Efficient Available Bandwidth Estimation for Network Paths. In: Proceedings of Passive and Active Measurements (PAM) Workshop (2003)
Dovrolis, C., Ramanathan, P., Moore, D.: What Do Packet Dispersion Techniques Measure? In: Proceedings of IEEE INFOCOM (2001)
Jacobson, V., Karels, M.J.: Congestion Avoidance and Control. In: Proceedings of the ACM SIGCOMM Conference (1988)
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Tunalı, T., Özbek, N., Anar, K., Kantarcı, A. (2004). Bandwidth-Aware Scaling for Internet Video Streaming. In: Aykanat, C., Dayar, T., Körpeoğlu, İ. (eds) Computer and Information Sciences - ISCIS 2004. ISCIS 2004. Lecture Notes in Computer Science, vol 3280. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-540-30182-0_17
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DOI: https://doi.org/10.1007/978-3-540-30182-0_17
Publisher Name: Springer, Berlin, Heidelberg
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