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An Integrated Software Architecture For Bandwidth Adaptive Video Streaming

Authors: Arsan, Taner;

An Integrated Software Architecture For Bandwidth Adaptive Video Streaming

Abstract

{"references": ["S. Savage, A. Collins, E. Hoffman, \"The end-to-end effects of internet\npath selection,\" in Proceedings of ACM SIGCOMM, 1999, pp. 289-299.", "D. Jurca and P. Frossard, \"Media-Specific Rate Allocation in Multipath\nNetworks\", Signal Processing Institute Technical Report TR-ITS-\n2005.032, 2005.", "J. Chakareski and P. Frossard, \"Distributed Streaming Via Packet\nPartitioning\", Proceedings of IEEE ICME, July 2006.", "J.P. Wagner, J. Chakareski and P. Frossard, \"Streaming of Scalable Video\nfrom Multiple Servers using Rateless Codes\". Proceedings of IEEE\nICME, July 2006.", "R. S. Prasad, M. Murray, C. Dovrolis and K. Claffy, ``Bandwidth\nestimation: metrics, measurement techniques and tools\", IEEE Network ,\nNov 2003, Vol. 17, No. 6, pages 27-35.", "R. L. Carter and M. E. Crovella. Measuring Bottleneck Link Speed in\nPacket-Switched Networks. In Performance Evaluation, 27,28:297-3 18,\n1996.", "M. Jain and C. Dovrolis, \"Pathload: A measurement tool for end-to-end\navailable bandwidth\", In Proceedings of Passive and Active\nMeasurements (PAM) Workshop, Mar. 2002.", "V. Riberio, R. Riedi, R. G. Baraniuk, J. Navratil, and L. Cottrell,\n\"pathChirp: Efficient Available Bandwidth Estimation for Network\nPaths\" Passive Active Measurement Workshop -- PAM2003 (Apr. 2003).", "D. Katabi and C. Blake, \"Inferring Congestion Sharing and Path\nCharacteristics for Packet Interarrival times\", MIT-LCSTR - 828,\nDecember 2001.\n[10] J. Apostolopoulos, T. Wong, W. Tan, and S. Wee, \"On multiple\ndescription streaming with content delivery networks,\" in Proceedings of\nIEEE INFOCOM, vol. 3, 23-27 June 2002, pp. 1736-1745.\n[11] K. J. Astrom, and T. Hagglund, Tore, \"PID Controllers: Theory, Design,\nand Tuning\", Research Triangle Park, North Carolina, Instrument Society\nof America, 1995.\n[12] C. Wang, J. Ho, R. Chang, S. Hsu, \"Afeedback-Controlled EDF\nScheduling Algorithm for Realtime Multimedia Transmission\", Technical\nReport TR-IIS- 0 1-008, Institute of Information Science, Academia\nSinica, Taipeh, Taiwan, 200 1.\n[13] N. Baldo, M. Kampmann, U. Horn, and F. Hartung, \"RTCP Feedback\nBased Transmission Rate Control For 3g Wireless Multimedia\nStreaming\", IEEE International Symposium on Personal, Indoor and\nMobile Radio Communications 2004 (PIMRC2004), Barcelona, Spanien,\nSeptember 2004.\n[14] Y. Saw, P. M. Grant, and J. M. Hannah, \"A Comparative Study of\nNonlinear Video Rate Control Techniques: Neural Neworks and Fuzzy\nLogic\", IEEE , 1998.\n[15] E. Ronco, T. Arsan and P. J. Gawthrop, Open-loop Intermittent Feedback\nControl:Practial Continuous-time GPC, IEE Proceedings of Control,\nTheory and Applications, Vol.146, Issue 5, p.426-434,September 1999.\n[16] K. Fall, K. Varadhan (Editors), The ns Manual (formerly ns Notes and\nDocumentation), The VINT Project A collaboration between researchers\nat UC Berkeley, LBL, USC/ISI, and Xerox PARC."]}

Video streaming over lossy IP networks is very important issues, due to the heterogeneous structure of networks. Infrastructure of the Internet exhibits variable bandwidths, delays, congestions and time-varying packet losses. Because of variable attributes of the Internet, video streaming applications should not only have a good end-to-end transport performance but also have a robust rate control, furthermore multipath rate allocation mechanism. So for providing the video streaming service quality, some other components such as Bandwidth Estimation and Adaptive Rate Controller should be taken into consideration. This paper gives an overview of video streaming concept and bandwidth estimation tools and then introduces special architectures for bandwidth adaptive video streaming. A bandwidth estimation algorithm – pathChirp, Optimized Rate Controllers and Multipath Rate Allocation Algorithm are considered as all-in-one solution for video streaming problem. This solution is directed and optimized by a decision center which is designed for obtaining the maximum quality at the receiving side.

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Turkey
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Keywords

Software Architecture, Software Architecture., Bandwidth Estimation, QoS, Adaptive Video Streaming

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This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
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