TY - GEN
T1 - Server-Side Buffering Measurements for VoD Systems
AU - Grishikashvili, Ella
AU - Pereira, Rubem
N1 - [1] J. Guo, E. W. M. Wong, S. Chan, P. Taylor, M. Zukerman,
and K. S.Tang, “Performance analysis of resource selection
schemes for a large scale video-on-demand system,” IEEE
Trans. Multimedia, vol. 10, no.1, pp. 153–159, Jan. 2008.
[2] Yung Ryn Choe, Chase Douglas, and Vijay S. Pai “A Model
and Prototype of a Resource-Efficient Storage Server for High-
Bitrate Video-on-Demand” IEEE International parallel and
Distributed Processing Symposium, pp397-404, 2007
[3] J. Guo, S. Chan, P. Taylor, M. Zukerman, K. Tang,
“Combination Load Balancing for Video-on-Demand
Systems”, IEEE Transactions on Circuits and Systems for
Video Technology, Vol 18, No 7, pp 937-948, July 2008
[4] TS Chua, J Li, BC Ooi, KL Tan, “Disk Stripping Strategies for
Large Video-on-Demand Servers,” The Fourth ACM
International Multimedia Conference, Boston, MA, pp. 297-
306, 1996
[5] B. Ozden, R Rastoli, A Silberschatz.: “On the design of a lowcost
video-on-demand storage system,”Multimedia Syst., 4, 1,
pp. 40-54, 1996
[6] P Sumari, M Merabti, R Pereira, “Video on Demand Server:
Strategy for Improving Performance”, IEE Proceedings-
Software, Vol 146, No 1, pp 33-37, Feb 1999
[7] W. Tang et al., “Optimal Video Placement Scheme for
Batching VoD Services,” IEEE Trans. Broadcasting, vol. 50,
pp. 16–25, Mar. 2004
[8] R. Shah, P. J. Varman, and J. S. Vitter. “Online algorithms for
prefetching and caching on parallel disks.” Proceedings of the
ACM Symposium on Parallelism in Algorithms and
Architectures, 2004.
[9] Y.W. Leung and R.Y.T. Hou, “Assignment of Movies to
Heterogeneous Video Servers,” IEEE Trans. Systems, Man,
and Cybernetics , vol. 35, no. 5, pp. 665-681, Sept. 2005.
[10] R. Pereira, E. Grishikashvili, O. Ajeyi “ Efficient Real-time
Packet Scheduling for Smoothed Video Streams”, International
Journal of Simulation, Volume 8, Number 3, pp 47-60, 2007
[11] Bewick C., Pereira R., and Merabti M. “Admission Control and
Routing of Smoothed Video Streams”, International Journal of
Simulation, Systems, Science and Technology, Vol. 6,
Numbers 3-4, pp. 61-68, 2005.
[12] Salehi J., Zhang Z., Kurose J., Twosley D., “Supporting Stored
Video: Reducing Rate Variability and End-to-End Resource
Requirements Through Optimal Smoothing”. IEEE/ACM
Trans. Networking, 6(4).Pp 397-410, 1998
[13] Rao S.G. and Raghavan S.V. 1999, “Fast Techniques for the
Optimal Smoothing of Stored Video”. Multimedia Systems,
7(3): p. 222-233, 1999
[14] Hadar O. and Cohen R. “PCRTT Enhancement for off-line
Video Smoothing.” The Journal of Real Time Imaging, June
2001 7(3).Pp 301-314, 2001
[15] Fitzek F.H.P. and Reisslein M , “MPEG-4 and H.263 Video
Traces for Network Performance Evaluation.” IEEE Network,
Dec. 2001, 15(6). Pp 40-54, 2001
[16] Telecommunication Network
PY - 2011/9
Y1 - 2011/9
N2 - A key issue in the performance of Video-on-Demand systems is the management of the data storage, typically based on disk arrays located with the server. The high bit rate associated with the medium, as well as the aim of supporting a large number of parallel streams, necessitate careful design and management of disk arrays. One of the related problems is the assignment of buffer space at the video server in order to harmonise differences in retrieval and transmission rates of the streams. In this article, we conduct a number of experiments with MPEG-4 compressed video, in order to obtain buffering occupancy values for various parallel streams.
AB - A key issue in the performance of Video-on-Demand systems is the management of the data storage, typically based on disk arrays located with the server. The high bit rate associated with the medium, as well as the aim of supporting a large number of parallel streams, necessitate careful design and management of disk arrays. One of the related problems is the assignment of buffer space at the video server in order to harmonise differences in retrieval and transmission rates of the streams. In this article, we conduct a number of experiments with MPEG-4 compressed video, in order to obtain buffering occupancy values for various parallel streams.
U2 - 10.1109/NBiS.2011.30
DO - 10.1109/NBiS.2011.30
M3 - Conference proceeding (ISBN)
SN - 978-1-4577-0789-6
SP - 142
EP - 147
BT - Network-Based Information Systems (NBiS), 2011 14th International Conference on
PB - IEEE
T2 - 14th International Conference on Network-Based Information Systems (NBiS)
Y2 - 7 September 2011 through 9 September 2011
ER -