Supporting Quality of Service in Distributed Virtual Environments

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Date

2003-09-19

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Virginia Tech

Abstract

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 offline and a neural network is trained with the knowledge of optimal solutions from the offline 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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Keywords

Quality of Service(QoS), Neural Networks, Real-time, Distributed Virtual Environments, Dynamic Programming

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