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Feed-Forward Bandwidth Indication: An Accurate Approach to Multimedia Bandwidth Forecasting and its Application in Ethernet Passive Optical Networks

Haddd, Rami J.
http://rave.ohiolink.edu/etdc/view?acc_num=akron1312558599

Abstract Details

2011, Doctor of Philosophy, University of Akron, Electrical Engineering.
In this dissertation, we address important issues related to forecasting the bandwidth of stored and live video over optical access networks. The nature of the communication network usually governs the video transport standard used; nevertheless, the nature of the transmitted traffic imposes some challenges on the transport standards that should also be considered. As far as video traffic is concerned, two major issues should be taken into consideration. First, compressed video has a variable bit rate which requires a large transmission bandwidth to ensure a certain Quality of Service (QoS). Therefore, video transport standards must be able to utilize the network bandwidth efficiently. Second, the timing requirement for video is stringent and must be met to ensure smooth playback at the receiving end. In this dissertation, we also propose an accurate video bandwidth forecasting approach called Feed-Forward Bandwidth Indication (FFBI). FFBI will assist the dynamic bandwidth allocation to help utilize the multimedia network resources more efficiently and comply with the timing requirements of video transmission. FFBI provides 100% accurate bandwidth forecast that comes for free for pre-recorded video and at the expense of some introduced delay for live video. With video transport over access networks projected to supplant other transport mechanisms in the next few years, we conducted a performance analysis of FFBI within Ethernet Passive Optical Networks (EPONs). We found that the use of FFBI can provide a 50% reduction in queueing delay compared to the use of no forecasting and a 35% reduction in queueing delay compared to other forecasting methods. In addition, we also found that the use of FFBI can provide a 60% reduction in delay jitter compared to the use of no forecasting and a 88% to 92% reduction in delay jitter compared to other forecasting methods.
Subramaniya Hariharan, Dr. (Advisor)
Joan Carletta, Dr. (Committee Member)
Hamid Bahrami, Dr. (Committee Member)
Timothy O'Neil, Dr. (Committee Member)
Craig Menzemer, Dr. (Committee Member)
110 p.
Electrical Engineering
bandwidth forecasting; feedforward bandwidth indication; queueing delay; video bandwidth; bandwidth allocation; feedforward; multimedia communication

Recommended Citations

Citations

  • Haddd, R. J. (2011). Feed-Forward Bandwidth Indication: An Accurate Approach to Multimedia Bandwidth Forecasting and its Application in Ethernet Passive Optical Networks [Doctoral dissertation, University of Akron]. OhioLINK Electronic Theses and Dissertations Center. http://rave.ohiolink.edu/etdc/view?acc_num=akron1312558599

    APA Style (7th edition)

  • Haddd, Rami. Feed-Forward Bandwidth Indication: An Accurate Approach to Multimedia Bandwidth Forecasting and its Application in Ethernet Passive Optical Networks. 2011. University of Akron, Doctoral dissertation. OhioLINK Electronic Theses and Dissertations Center, http://rave.ohiolink.edu/etdc/view?acc_num=akron1312558599.

    MLA Style (8th edition)

  • Haddd, Rami. "Feed-Forward Bandwidth Indication: An Accurate Approach to Multimedia Bandwidth Forecasting and its Application in Ethernet Passive Optical Networks." Doctoral dissertation, University of Akron, 2011. http://rave.ohiolink.edu/etdc/view?acc_num=akron1312558599

    Chicago Manual of Style (17th edition)

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© 2011, all rights reserved.
This open access ETD is published by University of Akron and OhioLINK.