Details of Grant 

EPSRC Reference:	EP/C525027/1
Title:	Analysis and Optimisation of Network Resource Allocations and Quality of Service (QoS) for Heterogeneous Internet Traffic
Principal Investigator:	Min, Professor G
Other Investigators:
Researcher Co-Investigators:
Project Partners:	IBM Motorola Nokia Polish Academy of Sciences
Department:	School of Computing, Informatics & Media
Organisation:	University of Bradford
Scheme:	First Grant Scheme Pre-FEC
Starts:	26 October 2005	Ends:	25 May 2008	Value (£):	125,086
EPSRC Research Topic Classifications:	Networks & Distributed Systems
EPSRC Industrial Sector Classifications:	Communications
Related Grants:
Panel History:
Summary on Grant Application Form
The explosive evolution of the Internet and the continued dramatic increase in wireless services are fuelling the demand for increased capacity and support for guaranteed Quality of Service (QoS) in future all-IP (Internet Protocol) networks. A critical issue for the success of next-generation Internet is how to efficiently allocate network resources to diverse traffic classes with differentiated QoS constraints. Unlike most existing studies that are generally based on simple rules-of-thumb, this proposed research, to the best of our knowledge, is the first of its kind to develop state-of-the-art analytical models and performance tools for multiple-queue service systems with heterogeneous Internet traffic, and to use these performance tools to investigate and optimise systematic network dimensioning and resource allocation.Numerous high-quality measurement studies have convincingly demonstrated that self-similar burstiness and heavy-tailed distributions in inter-arrival times and packet sizes are dominant characteristics of modern multimedia network traffic. Such characteristics have posed many novel and challenging problems in traffic engineering and opened up new areas of research in queuing theory and performance analysis involving self-similar mathematical models. Whilst existing research work has been primarily focused on the analysis of single-queue systems based on the simple First-Come FirstServed (FCFS) scheduling policy, this proposed research aims to devise the first analytical performance model for multiple-queue systems with selfsimilar traffic scheduled by a hybrid mechanism that combines Priority Queuing and Weighted-Fair Queuing, called PQ-WFQ, a promising scheduling policy for supporting differentiated QoS. The research is built upon the expertise of the investigator and his research group in the field of network performance modelling, traffic engineering, capacity and resource management optimisation. The performance models to be developed will use the large deviation principle and the queue-based decomposition technique, and will be generalised to handle multiple-class heterogeneous traffic modelled by non-bursty Poisson, bursty Markov arrival, and self-similar processes. The model validity will be demonstrated by comparing analytical results to those obtained through simulation experiments of the actual system.A multiple-objective optimisation method will be integrated into the developed performance tools for efficiently allocating buffer space and bandwidth to individual traffic classes with the aim of guaranteeing the QoS required by diverse applications and maximising the total system utility. A systematic performance study of end-to-end QoS in integrated Internet and wireless Universal Mobile Telecommunications System (UMTS) networks will be conducted using MOTOROLA laboratory infrastructure and equipment to test and demonstrate the viability of the resource allocation schemes developed in real-world networking scenarios.The range of themes in this work spans fundamental traffic modelling, stochastic analysis and network design. On the theoretical side, the implications of this research go beyond the traffic engineering context and are expected to contribute to applied probability theory, queuing analysis, asymptotic approximation, and optimisation. On the applications side, the proposed work provides significant insight and guidance for the design of current and next generation high-speed networks.
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Organisation Website:	http://www.brad.ac.uk