DocumentCode :
631653
Title :
Modeling and analysis of QoS class mapping for hybrid QoS domains using Flow Aggregate
Author :
Wang Zai-jian ; Yu-ning Dong ; Hai-xian Shi ; Zhang Hui
Author_Institution :
Coll. of Commun. & Inf. Eng., Nanjing Univ. of Posts & Telecommun., Nanjing, China
fYear :
2013
fDate :
1-5 July 2013
Firstpage :
503
Lastpage :
508
Abstract :
To analyze network QoS (Quality of Service) performance and better utilize network resources, this paper develops an analytical model of QoS class mapping for hybrid QoS domains based on network calculus theory. Based on this model, an elastic QoS Mapping scheme with Flow Aggregate (EQM-FA) is proposed to support end-to-end QoS of multimedia services over heterogeneous wireless networks. In EQM-FA, the QoS requirements of service flows are indicated by a unique flow aggregate identifier which can be described by the information describing QoS on a service flow map which is a multidimensional space of relevant QoS parameters. With flow aggregate identifier and mapping executors sitting at the border of different QoS domains, EQM-FA allows smooth QoS class mapping between different networks with different granularity of QoS class. Both numerical analysis and simulation studies are given to demonstrate the efficacy of the proposed method.
Keywords :
multimedia communication; quality of service; radio networks; EQM-FA; QoS class mapping; Quality of Service; elastic QoS mapping scheme with flow aggregate; flow aggregate; hybrid QoS domains; multidimensional space; multimedia services; network calculus theory; network resources; service flow map; wireless networks; Aggregates; Analytical models; Bandwidth; Delays; Quality of service; Throughput; Vectors; QoS classes; class mapping; flow aggregate; heterogeneous networks;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Wireless Communications and Mobile Computing Conference (IWCMC), 2013 9th International
Conference_Location :
Sardinia
Print_ISBN :
978-1-4673-2479-3
Type :
conf
DOI :
10.1109/IWCMC.2013.6583609
Filename :
6583609
Link To Document :
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