DocumentCode :
2731543
Title :
Worst-case analysis for deterministic allocation in a differentiated services network
Author :
Listanti, Marco ; Ricciato, Fabio ; Saisano, S. ; Veltri, Luca
Author_Institution :
INFOCOM Dept., Univ. of Roma La Sapienza, Italy
Volume :
3
fYear :
2000
fDate :
2000
Firstpage :
1554
Abstract :
The differentiated service architecture is proposed as a scalable approach to QoS for IP networks. Therefore it is based on the aggregate (per class) scheduling of packets, but it aims at providing QoS to single flows. In particular the expedited forwarding (EF) per hop behavior (PHB) and the related premium service have been defined in order to provide determinist QoS guarantees to IP flows: zero loss and very low delay and jitter. Hence a possible approach to characterize and to dimension a network using the EF PHB is the worst-case analysis. We propose a worst case analysis which provides bounds to the queuing delay for a class of network topologies. Our results are compared with similar available results, which provide “looser” bounds. The comparison with simulation results shows that the bound is not enough tight to be of practical use. We justify the reason for this behavior and indicate directions for further improvements
Keywords :
delays; jitter; network topology; packet switching; quality of service; queueing theory; telecommunication networks; transport protocols; IP flows; IP networks; QoS guarantee; aggregate packet scheduling; deterministic allocation; differentiated service architecture; differentiated services network; expedited forwarding per hop behavior; low delay; low jitter; network dimension; network topologies; premium service; queuing delay bounds; scalable approach; simulation results; worst-case analysis; Aggregates; Bandwidth; Delay; Diffserv networks; Intelligent networks; Jitter; Quality of service; Resource management; Telecommunication traffic; Traffic control;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Global Telecommunications Conference, 2000. GLOBECOM '00. IEEE
Conference_Location :
San Francisco, CA
Print_ISBN :
0-7803-6451-1
Type :
conf
DOI :
10.1109/GLOCOM.2000.891900
Filename :
891900
Link To Document :
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