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Supporting Quality of Service in Distributed Virtual Environments
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We 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.
- Masters Theses