Principal Investigator: R. L. Cruz
Summary of Results
Publications
Project Summary:
The goal of the project is to develop scalable service
models that can be used to provide meaningful quantitative QoS
guarantees in large scale networks. This is crucial to the efficacy of
middleware that supports QoS management in large scale networks, due to
the rapid technological change and heterogeneity anticipated in such
networks. This constitutes basic research of a mathematical nature, with
the intention of increasing fundamental understanding on how QoS can be
efficiently supported in large scale networks. Some of the specific
topics included in this project include study of aggregation of
distinct services to form other services, study of lossy network
elements, and scheduling algorithms for adaptive applications.
The impact of the proposed work would be to foster interoperability
among service providers that support QoS, and the development of
mechanisms for efficient resource allocation. This would promote a
diversity of service providers, increased competition, and ultimately
lower costs to the end user.