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Research on Multimedia Network Performance Based on Network Calculus

Author: SunZhiChao
Tutor: YuLi
School: Huazhong University of Science and Technology
Course: Communication and Information System
Keywords: QoS Network Calculus GR model PSRG model Expedited Forwarding service
CLC: TN919.85
Type: Master's thesis
Year: 2009
Downloads: 20
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Abstract

The rapid development of Multimedia Technology has brought significant evolution to Computer Network including Mobile Communication Systems,since multimedia service requires larger bandwidth and better Quality of Service. So as to satisfy the promoting network service guarantee requirement, more and more research efforts have been devoted to the study of network QoS. A large number of QoS control mechanisms have been proposed in the domain of packet scheduling and queue management algorithm from Integrated Service Model to Differentiated Service Model, which are all based on probability theory, stochastic process and queuing theory. Though these theories have brought some useful conclusions in network performance analysis, they are too complicated to analyze network performance in Real-time. Network Calculus, which first emerged from delay analysis of queuing system using Min-plus Algebra, becomes an effective theory for the analysis of network system performance and queuing system performance. As a new mathematical tool for network performance analysis, Network Calculus analyzes network node and system with systemic method which is simple enough to derive precise results. Network Calculus is valuable, because it can obtain the performance parameters from the whole system to local system.In this thesis, we first studied the theoretical basis of Network Calculus, and then applied Network Calculus to the analysis of multimedia network performance. We intensively analyzed the Differentiated Service model using Network Calculus, compared the service curve model and Guaranteed Rate (GR) model, and proposed a frame of Packet Scale Rate Guarantee model based on the defects of service curve model and GR model, which becomes the new definition of Expedited Forwarding (EF) lately. Moreover, EF service was intensively studied, and a novel version of EF end-to-end delay upper bound was proposed. Comparing with the traditional one, a more precise delay upper bound expression is obtained using a smaller arrival curve. Meanwhile EF is found to be applicable to Birth-death model. With the new upper bound, the Probability Distribution of end-to-end delay model is derived using Birth-death model and Queuing Theory. This Probability Distribution can describe the delay upper bound under different network situations, therefore, it is more applicable to describe the delay upper bound than the traditional method.

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