Modeling full-length video using Markov-modulated Gamma-based framework

IEEE/ACM Transactions on Networking

Volumn 11, Issue 4, 2003, Pages 638-649

  Sarkar, Uttam K ^a,b   Ramakrishnan, Subramanian ^c   Sarkar, Dilip ^a  

^a Department of Computer Science and Center for Computational Science   (United States)

^b INDIAN INSTITUTE OF MANAGEMENT CALCUTTA   (India)

^c Department of Biology   (United States)

Author keywords

Frame size traffic model; Gamma distribution; Leaky bucket simulation; MPEG; QQ plot; Variable bit rate (VBR) video

Indexed keywords

COMPUTER SIMULATION; GAMMA RAYS; IMAGE QUALITY; PACKET NETWORKS;

VARIABLE BIT RATE (VBR);

TELECOMMUNICATION TRAFFIC;

EID: 0042416624     PISSN: 10636692     EISSN: None     Source Type: Journal    
DOI: 10.1109/TNET.2003.815292     Document Type: Article

References (16)

1. K. Chandra and A. R. Reibman, "Modeling one- and two-layer variable bit rate video," IEEE/ACM Trans. Networking, vol. 7, pp. 398-413, June 1999.
2. A. M. Dawood and M. Ghanbari, "Content-based MPEG video traffic modeling," IEEE Trans. Multimedia, vol. 1, pp. 77-87, Mar. 1999.
3. M. Frey and S. Nguyen-Quang, "A Gamma-based framework for modeling variable-rate MPEG video sources: The GOP GEAR model," IEEE/ACM Trans. Networking, vol. 8, pp. 710-719, Dec. 2000.
4. D. P. Heyman, "The GBAR source model for VBR videoconferences, " IEEE/ACM Trans. Networking, vol. 5, pp. 554-560, Aug. 1997.
5. D. P. Heyman and T. V. Lakshman, "Source models for VBR broadcast-video traffic," IEEE/ACM Trans. Networking, vol. 4, pp. 40-48, Feb. 1996.
6. D. P. Heyman, A. Tabatabai, and T. V. Lakshman, "Statistical analysis and simulation study of video teleconferencing traffic in ATM," IEEE Trans. Circuits Syst. Video Technol., vol. 2, pp. 49-59, Mar. 1992.
7. M. M. Krunz and A. M. Makowski, "Modeling video traffic using M/G/∞ input processes: A compromise between markovian and LRD models," IEEE J. Select. Areas Commun., vol. 16, pp. 733-748, June 1998.
8. M. Krunz, R. Sass, and H. Hughes, "Statistical characteristics and multiplexing of MPEG streams," in Proc. IEEE INFOCOM, 1995, pp. 455-462.
9. M. Krunz and S. K. Tripathi, "Scene-based characterization of VBR MPEG-compressed video traffic," in Proc. ACM SIGMETRICS, 1997, pp. 192-202.
10. D. M. Lucantoni, M. F. Neuts, and A. R. Reibman, "Methods for performance evaluation of VBR video traffic models," IEEE/ACM Trans. Networking, vol. 2, pp. 176-180, Apr. 1994.
11. P. Manzoni, P. Cremonesi, and G. Serazzi, "Workload models of VBR video traffic and their use in resource allocation policies," IEEE/ACM Trans. Networking, vol. 7, pp. 387-397, June 1999.
12. B. Melamed and D. E. Pendarakis, "Modeling full-length VBR video using markov-renewal-modulated TES models," IEEE J. Select. Areas Commun., vol. 16, pp. 600-611, June 1998.
13. M. Nomura, T. Fuji, and N. Ohta, "Basic characteristics of variable rate video coding in ATM environment," IEEE J. Select. Areas Commun., vol. 7, pp. 752-760, June 1989.
14. Q. Ren and H. Kobayashi, "Diffusion approximation modeling for Markov modulated bursty traffic and its applications to bandwidth allocation in ATM networks," IEEE J. Select. Areas Commun., vol. 16, pp. 679-691, June 1998.
15. U. K. Sarkar, S. Ramakrishnan, and D. Sarkar, "Modeling full-length video using Markov-modulated Gamma-based framework," in Proc. IEEE Globecom, 2001, pp. 1-5.
16. J.-L. Wu, Y. -W Chen, and K.-C. Jiang, "Two models for variable bit rate MPEG sources," IEICE Trans. Commun., vol. E78-B, pp. 737-745, 1995.