Type of Document Master's Thesis Author Ramaraj, Sharath URN etd-10162003-171616 Title Supporting Quality of Service in Distributed Virtual Environments Degree Master of Science Department Computer Science Advisory Committee
Advisor Name Title Gracanin, Denis Committee Chair Chen, Ing-Ray Committee Member Lu, Chang-Tien Committee Member Keywords
- Quality of Service(QoS)
- Neural Networks
- Distributed Virtual Environments
- Dynamic Programming
Date of Defense 2003-09-19 Availability unrestricted AbstractWe present a resource allocation perspective to Quality of Service in Distributed Virtual
Environments. The user of a DVE system will have improved Quality of Service if he/she
is allocated the right amount of resources at the right time. Instead of allocating resources
on a static basis, we adopt a dynamic need based resource allocation scheme that provides real-time resource allocation. Optimal resource assignments are calculated o2ine and a neural network is trained with the knowledge of optimal solutions from the o2ine Operations Research Techniques and it is then used to deliver near-optimal resource allocation decisions in real-time. We also present a case study of network bandwidth allocation and prove the usefulness of the technique.
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