High-speed transmission over contemporary communication networks has
drawn many research efforts. Traffic scheduling schemes which play a critical role in
managing network transmission have been pervasively studied and widely
implemented in various practical communication networks. In a sophisticated
communication system, a variety of applications co-exist and require differentiated
Quality-of-Service (QoS). Innovative scheduling schemes and hybrid scheduling
disciplines which integrate multiple traditional scheduling mechanisms have
emerged for QoS differentiation. This study aims to develop novel analytical models
for commonly interested scheduling schemes in communication systems under more
realistic network traffic and use the models to investigate the issues of design and
development of traffic scheduling schemes.
In the open literature, it is commonly recognized that network traffic exhibits
self-similar nature, which has serious impact on the performance of communication
networks and protocols. To have a deep study of self-similar traffic, the real-world
traffic datasets are measured and evaluated in this study. The results reveal that selfsimilar
traffic is a ubiquitous phenomenon in high-speed communication networks
and highlight the importance of the developed analytical models under self-similar
traffic.
The original analytical models are then developed for the centralized
scheduling schemes including the Deficit Round Robin, the hybrid PQGPS which
integrates the traditional Priority Queueing (PQ) and Generalized Processor Sharing (GPS) schemes, and the Automatic Repeat reQuest (ARQ) forward error control
discipline in the presence of self-similar traffic.
Most recently, research on the innovative Cognitive Radio (CR) techniques
in wireless networks is popular. However, most of the existing analytical models still
employ the traditional Poisson traffic to examine the performance of CR involved
systems. In addition, few studies have been reported for estimating the residual
service left by primary users. Instead, extensive existing studies use an ON/OFF
source to model the residual service regardless of the primary traffic. In this thesis, a PQ theory is adopted to investigate and model the possible service left by selfsimilar
primary traffic and derive the queue length distribution of individual
secondary users under the distributed spectrum random access protocol.
| Identifer | oai:union.ndltd.org:BRADFORD/oai:bradscholars.brad.ac.uk:10454/4863 |
| Date | January 2010 |
| Creators | Liu, Lei |
| Contributors | Min, Geyong |
| Publisher | University of Bradford, Department of Computing |
| Source Sets | Bradford Scholars |
| Language | English |
| Detected Language | English |
| Type | Thesis, doctoral, PhD |
| Rights | <a rel="license" href="http://creativecommons.org/licenses/by-nc-nd/3.0/"><img alt="Creative Commons License" style="border-width:0" src="http://i.creativecommons.org/l/by-nc-nd/3.0/88x31.png" /></a><br />The University of Bradford theses are licenced under a <a rel="license" href="http://creativecommons.org/licenses/by-nc-nd/3.0/">Creative Commons Licence</a>. |
Page generated in 0.0027 seconds