Controlling QoS in a Collaborative Multimedia Environment
HPDC '96 Proceedings of the 5th IEEE International Symposium on High Performance Distributed Computing
Internet, education, and the Web
WET-ICE '96 Proceedings of the 5th International Workshops on Enabling Technologies: Infrastructure for Collaborative Enterprises (WET ICE'96)
A Protocol Composition-Based Approach to QoS Control in Collaboration Systems
ICMCS '96 Proceedings of the 1996 International Conference on Multimedia Computing and Systems
JETS: A Java-Enabled Telecollaboration System
ICMCS '97 Proceedings of the 1997 International Conference on Multimedia Computing and Systems
Environment for Performing Collaborative Distributed Virtual Environments with QoS
ICPADS '00 Proceedings of the Seventh International Conference on Parallel and Distributed Systems
Asynchronous Distributed Problem-Based Learning
ICALT '01 Proceedings of the IEEE International Conference on Advanced Learning Technologies
A pattern system supporting QoS for synchronous collaborative systems
MMNET '97 Proceedings of the IEEE Conference on Protocols for Multimedia Systems - Multimedia Networking (PROMSMmNet'97)
Applications of computer communications in education: an overview
IEEE Communications Magazine
Web based teaching and learning: a panacea?
IEEE Communications Magazine
| Hi-index | 0.00 |
Virtual laboratories and distance learning have produced a comfortable, sophisticated, interactive, and adaptable teaching model. Moreover, consistent technical progress in this field allows the development of increasingly interesting applications. The authors select those elements to create a virtual learning environment. Indeed, the adaptation of the concept of the laboratory and all of its components, in the computer science field, seems a tempting alternative. However, this possibility carries constraints on the way education is organized in such environments. In order to recreate traditional education, one must introduce the concept of collaboration. This article presents an architecture capable of managing collaboration. However, such an architecture is usually associated with quality-of-service problems. By adapting differentiating flows according to the users' needs, the authors conjecture that such adaptation to the environment has beneficial influence on the performance of the entire system. Simulation results are significant. This model was tested with different network loads. Results indicate that improvements caused by traffic differentiation, even without special network loads, become even more significant as the number of users increases. The model is still untested in practice.