Supporting Quality of Service in Distributed Virtual Environments

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.

Name thesis:degree_name

Master of Science

Level thesis:degree_level

masters

Discipline thesis:degree_discipline

Computer Science

Department dc:contributor.department

Computer Science

Grantor dc:publisher

Virginia Tech

Year dc:date.issued

2003

Author dc:creator

• Ramaraj, Sharath

Chair dc:contributor.committeechair

• Gracanin, Denis

Committee members dc:contributor.committeemember

• Chen, Ing-Ray
• Lu, Chang-Tien

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

Statement dc:rights

• In Copyright

Licence dc:rights.uri

• http://rightsstatements.org/vocab/InC/1.0/

Dc Identifier Other

etd-10162003-171616

OAI identifier oai:identifier

oai:vtechworks.lib.vt.edu:10919/35401