Network flows: theory, algorithms, and applications
Network flows: theory, algorithms, and applications
Scheduling policies for an on-demand video server with batching
MULTIMEDIA '94 Proceedings of the second ACM international conference on Multimedia
Metropolitan area video-on-demand service using pyramid broadcasting
Multimedia Systems
Skyscraper broadcasting: a new broadcasting scheme for metropolitan video-on-demand systems
SIGCOMM '97 Proceedings of the ACM SIGCOMM '97 conference on Applications, technologies, architectures, and protocols for computer communication
Patching: a multicast technique for true video-on-demand services
MULTIMEDIA '98 Proceedings of the sixth ACM international conference on Multimedia
Proxy-assisted techniques for delivering continuous multimedia streams
IEEE/ACM Transactions on Networking (TON)
A double patching technique for efficient bandwidth sharing in video-on-demand systems
Multimedia Tools and Applications
Video Data Delivery using Slotted Patching
Journal of Network and Computer Applications
Performance of batching schemes for multimedia-on-demand services
IEEE Transactions on Multimedia
Request based data delivery in video-on-demand services
IEEE Transactions on Consumer Electronics
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Minimizing the worst-case playback delay (WPD) in VoD services is both critical and challenging. Given a fixed amount of bandwidth for broadcasting and patching, there is no prior work on determining the minimum WPD, let alone guaranteeing it. In this work, we propose novel schemes that leverage the unique properties of a TDM-based Passive Optical Network (PON) by performing rebroadcasting and patching at its Optical Network Unit (ONUs). For a given bandwidth available for VoD services in the PON, we derive the minimum worst-case playback delay (WPD), and also design optimal patch scheduling algorithm as well as ONU rebroadcast and patching channel assignment to guarantee such minimum WPD. Numerical results confirm the superiority of the proposed schemes over the existing ones in terms of both worst-case and average performance.