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Performance Evaluation of the TFD-capable Dynamic QoS Assurance of HD Video Streaming in Well-dimensioned Network

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Warianty tytułu
Języki publikacji
EN
Abstrakty
EN
The Traffic Flow Description (TFD) option of the IP protocol is an experimental option, designed by the Authors and described by the IETF’s Internet Draft. This option was intended for signalling for QoS purposes. Knowledge about forthcoming traffic (such as the amount of data that will be transferred in a given period of time) is conveyed in the fields of the option between end-systems. TFD-capable routers on a path (or a multicast tree) between the sender and receiver(s) are able to read this information, process it and use it for bandwidth allocation. If the time horizons are short enough, bandwidth allocation will be performed dynamically. In the paper a performance evaluation of an HD video transmission QoS assured with the use of the TFD option is presented. The analysis was made for a variable number of video streams and a variable number of TCP flows that compete with the videos for the bandwidth of the shared link. Results show that the dynamic bandwidth allocation using the TFD option better assures the QoS of HD video than the classic solution, based on the RSVP protocol.
Rocznik
Strony
357--364
Opis fizyczny
Bibliogr. 34 poz., rys., tab., wykr.
Twórcy
autor
  • Faculty of Electrical Engineering, Automatic Control and Computer Science, Kielce University of Technology, Kielce, Poland
  • Department of Telecommunications, The AGH University of Science and Technology, Krakow, Poland
Bibliografia
  • [1] R. R. Chodorek and A. Chodorek, ”Providing QoS for high definition video transmission using IP Traffic Flow Description option”, In Proc. 8th International Conference on Human System Interactions (HSI), Warsaw, Poland, pp. 102-107, June, 2015.
  • [2] R. R.Chodorek and A. Chodorek, ”An analysis of the applicability of the TFD IP option for QoS assurance of multiple video streams in a congested network”, In Proc. International Conference on Systems, Signals and Image Processing (IWSSIP), Poznan, Poland, pp. 1-5, May, 2017.
  • [3] R. R. Chodorek and A. Chodorek, Expanding the Ns-2 Emulation Environment with the Use of Flexible Mapping, In book: Computer Networks, Communications in Computer and Information Science series, (608), pp. 22-31, 2016.
  • [4] R. R. Chodorek and A. Chodorek, A Linux Kernel Implementation of the Traffic Flow Description Option, In book: Multimedia and Network Information Systems. Proceedings of MISSI 2016 In: Zgrzywa A., Choro K., Siemiski A. (eds) Multimedia and Network Information Systems. Advances in Intelligent Systems and Computing, vol 506. Springer, pp 161-170, 2017.
  • [5] R. R. Chodorek, An IP option for describing the traffic flow”, IETF Internet Draft draft-chodorek-traffic-flow-option-08, 2017.
  • [6] R. R. Chodorek and A. Chodorek, ”TFD-Based Dynamic Resource Reservations for SD and HD Video Transmission Over a Multiservice Network”, In: Z. Hippe, J. Kulikowsk, T. Mroczek (eds) Human-Computer Systems Interaction. Advances in Intelligent Systems and Computing, vol 551. Springer, Cham, pp. 181-192, 2018.
  • [7] R. R. Chodorek and A. Chodorek, ”Traffic flow description based on scene change analysis”, In Signal Processing: Algorithms, Architectures, Arrangements, and Applications (SPA), Poznan, Poland, pp. 138-141, 2016.
  • [8] R. R. Chodorek and A. Chodorek, ”TFD-capable dynamic QoS assurance using a variable time horizon based on scene changes”, In International Conference on Signals and Electronic Systems (ICSES), Krakow, Poland, pp. 276-281, 2016.
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  • [20] S. Floyd and K. Fall, ”Promoting the use of end-to-end congestion control in the Internet”, IEEE/ACM Transactions on Networking (ToN), vol. 7, no. 4, pp. 458-472, 1999.
  • [21] I. F. Akyildiz, A. Lee, P. Wang, M. Luo and W. Chou, A roadmap for traffic engineering in SDN-OpenFlow networks, Computer Networks, vol. 71, pp. 130, 2014.
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  • [25] W. J. Hwang, T. M. Tai, Y. J. Jhang, Y. C. Tung, C. H. Ho and S. Y. Kuo, ”Quality of Service Management for Home Networks Using Online Service Response Prediction”, IEEE Internet of Things Journal, vol. 4, no. 5, pp. 1773-1786, 2017.
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  • [30] L. Wei, J. Cai, C.H. Foh and B. He, ”QoS-aware resource allocation for video transcoding in clouds”, IEEE Transactions on Circuits and Systems for Video Technology, vol. 27, no. 1, pp. 49-61 ,2017.
  • [31] A. Alasaad, K. Shafiee, H. M. Behairy and V. C. Leung, ”Innovative schemes for resource allocation in the cloud for media streaming applications”, IEEE Transactions on Parallel and Distributed Systems, vol. 26, no. 4, pp. 1021-1033, 2015.
  • [32] A. Armentia, U. Gangoiti, D. Orive and M. Marcos, ”Dynamic QoS Management for Flexible Multimedia Applications”, IFACPapersOnLine, vol. 50, no. 1, pp. 5920-5925, 2017.
  • [33] X. Xu, M. Tang and Y. C. Tian, ”QoS-guaranteed resource provisioning for cloud-based MapReduce in dynamical environments”, Future Generation Computer Systems, vol. 78, pp. 18-30. 2018.
  • [34] A. Mendiola, V. Fuentes, J. Matias, J. Astorga, N. Toledo, E. Jacob, and M. Huarte, ”An architecture for dynamic QoS management at Layer 2 for DOCSIS access networks using OpenFlow”, Computer Networks, vol. 94, pp. 112-128, 2016.
Uwagi
1. Opracowanie rekordu w ramach umowy 509/P-DUN/2018 ze środków MNiSW przeznaczonych na działalność upowszechniającą naukę (2018).
2. The research reported in the chapter was supported by the contract 11.11.230.018.
Typ dokumentu
Bibliografia
Identyfikator YADDA
bwmeta1.element.baztech-f2878451-6170-4df9-86a9-e6a03234dd22
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