Ideal online video on demand (VoD) system should make available any video at any time with smooth VCR like functions such as fast forward, fast backward during playback. Providing them by unicast streaming (dedicated channels) is expensive and ties up resources in networks causing blocks. Video data are bulky and need high bandwidth for real time playback in networked storage and playback environment. The resource blocking manifolds when multiple users go online. Sustainable performance can be attained by identifying conditions and bounds for networks, servers and the receiver equipment. Modern video data follows framed structures and makes use of relative coding. Data streaming and buffering has to support not merely simple linear playback but also non sequential users VCR like interactions. They were quite simple under electro-mechanical playback/storage technologies such as VCRs, cd/dvd players. Modern information networks use non-linear compression, non sequential storage, distributed data approaches and that too are coupled with random communication delays. Together they pose challenges against interactive VoD.

1. Kien A. Hua, Mounir A. Tantaoui and Walla Pak Tavanapong (2004), “Video Delivery Technologies for Large Scale Deployment of Multimedia Applications”, Proceedings of the IEEE Vol. 92, No. 9, pp 1439-1448.
2. S. Ghanehari and L. Ramos (1993), “Continuous retrieval of multimedia data using parallelism”, IEEE Transactions on Knowledge and Data Engineering, pp 658-666, Vol. 5, No. 43.
3. Nabil J Sarhan and Chita R Das (2004), “A New Class of Scheduling Policies for providing time of service guarantees in Video on demand systems”, IEE Proceedings on Visual Image Signal Processing, July.
4. W.F. Poon, K.T.Lo,(2003) “Determination of efficient transmission scheme for video on demand services”, IEEE transactions on circuits and systems for video technology, vol 13, pp188-192.
5. C H Lee and Y B Lee (2003), “Performance analysis of SS-VOD system” IEEE transactions on Circuits and systems for video technology, vol. 12, No. 11, pp 983-997.
6. Derek Eager, Mary Vernon and John Zahrojan, (2000) “Bandwidth Skimming : A Technique for Cost Effective Video on demand”, IEE proceedings of Multimedia Computing and Networking 2000, pp 1-10, San Jose CA.
7. Paolo Bellavista, Antonio Corradi, (2002) “How to support Internet based distribution of video on demand to portable users”, proceedings of 7th IEEE International Symposium on Computers and Communication ISCC ‘02, IEEE Computer Society, pp 1530-1546.
8. Phillip Lougher, D. Shepherd and David Pegler, (1994), “The Impact of Digital Audio and Video on High Speed Storage”, 13th IEEE Symposium on Mass Storage Systems, pp 84-88.
9. Jun Peng, Biplab Sikdar, (2005) “An Efficient and scalable loss recovery scheme for video multicast”, IEEE Transactions on Multimedia, pp 356-365, April.
10. Bhadada R. and Rai B., (2009) “Design and performance estimation of Multimedia Information Distribution”, Proceedings of International Conference on Emerging and Futuristic System and Technology, pp 150-156, L.I.E.T., Alwar and Institution of Engineers (India), April 09-11, 2009
11. Chutimet Srinilta, Divyesh Jadav and Alok Choudhary (1997), “Design and Evaluation of Data Storage and Retrieval Strategies in a Distributed Memory Continuous Media Server”, IEEE proceedings of the 11th International Parallel Process Symposium (IPPS 97), pp 1063-7133.
12. Hari Kalva and Borko Furht, (1996) “Techniques for Improving the capacity of video on demand systems”, Proceedings of 29th International Conference on Systems Sciences, IEEE, pp 308-315.
13. Dua T.R., (1998) “Multimedia Infrastructure Requirements Issues, Challenges and Opportunities”, Electronics Information and Planning, Vol-25, No. 6, March.
14. William E. Wright, (2001) “An Efficient Video-On-Demand Model”, IEEE Computer, Vol. 34, No. 5, pp 64-70.
15. Thinh Nguyen and Avideh Zakhor, (2004) “Multiple Sender Distributed Video Streaming”, IEEE Transactions on Multimedia, pp 315-326, April.
16. Bhadada R., (2008) “Study of Efficient Information Management for Video On Demand Systems” Ph.D. thesis under supervision of Dr. Sharma K.L., ECE Dept., JNV Univ. Jodhpur.
17. W F Poon and K T Lo (2004), “Delay requirement for transmission of VBR videos in interactive broadcast environment”, Proceeds of 2nd international conference on Information Technology for Application ICITA, pp68-73.

True Video On Demand Interactive video playback buffers bounds streamed video data