Adaptive Networking for Tele-Immersion
Tele-Immersive applications possess an unusually broad range of networking requirements. As high-speed and Quality of Service-enabled networks emerge, it will becoming more difficult for developers of Tele-Immersion applications, and networked applications in general, to take advantage of these enhanced services. This paper proposes an adaptive networking framework to ultimately allow applications to optimize their network utilization in pace with advances in networking services. In working toward this goal, this paper will present a number of networking techniques for improving performance in tele-immersive applications and examines whether the Differentiated Services mechanism for network Quality of Service is suitable for Tele-Immersion.
KeywordsForward Error Correction Expedite Forwarding Effective Throughput Forward Error Correction Scheme Differentiate Service
Unable to display preview. Download preview PDF.
- J. Leigh, Johnson, A., DeFanti, T., et al., “A Review of Tele-Immersive Applications in the CAVE Research Network,” presented at IEEE VR99, Houston, Texas, 1999.Google Scholar
- J. Leigh, Cho, Y. J., Krishnaprasad, N., Nayak, A., Fang, R., “the CAVERNsoft Tele-Immersion Toolkit: http://www.evl.uic.edu/cavern/cavernG2./cavern/cavernG2.”
- K. Park, Cho, Y., Krishnaprasad, N., Scharver, C, Lewis, M., Leigh, J., “CAVERNsoft G2: A Toolkit for High Performance Tele-Immersive Collaboration,” presented at ACM Symposium on Virtual Reality Software and Technology, Seoul, Korea, 2000.Google Scholar
- IntServ, http://www.ietf.org/html.charters/intserv-charter.html./html.charters/intserv-charter.html.
- DiffServ, http://www.ietf.org/html.charters/diffserv-charter.html./html.charters/diffserv-charter.html.
- EMERGE, “EMERGE: http://www.evl.uic.edu/cavern/EMERGE./cavern/EMERGE.”
- J. Leigh, Yu, O., Verio, A., Roy, A., Winkler, L., DeFanti, T. A., “Differentiated Services Experiments Between the Electronic Visualization Laboratory and Argonne National Laboratory http://www.evl.uic.edu/cavern/papers/DiffServl2_12_2K.pdf,” 2000.Google Scholar
- I. Foster, Sander, V., Roy, A., “A Quality of Service Architecture that Combines Resource Reservation and Application Adaptation,” presented at 8th International Workshop on Quality of Service (IWQOS, 2000.Google Scholar
- K. Park, Kenyon, R, “Effects of Network Characteristics on Human Performance in a Collaborative Virtual Environment,” presented at IEEE VR, Houston, Texas, 1999.Google Scholar
- N. Sawant, Scharver, C, Leigh, J., Johnson, A., Reinhart, G., Creel, E., Batchu, S., Bailey, S., Grossman, R, “The Tele-Immersive Data Explorer: A Distributed Architecture for Collaborative Interactive Visualization of Large Data-sets,” presented at 4th International Immersive Projection Technology Workshop, Ames, Iowa, 2000.Google Scholar
- R. Fang, Schonfeld, D., Ansari, R., Leigh, J., “Forward Error Correction for Multimedia and Tele — immersion Streams: http://www.startap.net/images /PDF/RayFangFEC1999.pdf,” 2000.Google Scholar
- T. A. DeFanti, Goldstein, S., “STAR TAP, http://www.startap.net..”
- O. Yu, “Dynamic QoS and Routing Support for Real-time Multimedia Applications over Next Generation Internet,” presented at Proceedings of IEEE International Conference on Multimedia and Expo 2000, 2000.Google Scholar