Ramaraj, Sharath2014-03-142014-03-142003-09-19etd-10162003-171616http://hdl.handle.net/10919/35401We 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.In CopyrightQuality of Service(QoS)Neural NetworksReal-timeDistributed Virtual EnvironmentsDynamic ProgrammingThesishttp://scholar.lib.vt.edu/theses/available/etd-10162003-171616/