Fair intelligent admission control over resource-feedback DiffServ network

Li, M; Hoang, DB; Simmonds, AJ

Fair intelligent admission control over resource-feedback DiffServ network

Li, M Hoang, DB

Simmonds, AJ

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Publication Type:: Journal Article
Citation:: Computer Communications, 2005, 28 (15), pp. 1770 - 1777
Issue Date:: 2005-09-15

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Field	Value	Language
dc.contributor.author	Li, M	en_US
dc.contributor.author	Hoang, DB https://orcid.org/0000-0003-1798-4926	en_US
dc.contributor.author	Simmonds, AJ	en_US
dc.date.issued	2005-09-15	en_US
dc.identifier.citation	Computer Communications, 2005, 28 (15), pp. 1770 - 1777	en_US
dc.identifier.issn	0140-3664	en_US
dc.identifier.uri	http://hdl.handle.net/10453/30767
dc.identifier.uri	http://hdl.handle.net/10453/4005
dc.description.abstract	The basic DiffServ model lacks mechanisms to prevent itself from being overloaded and to inform its internal capability to the external world. This paper addresses the problem by presenting a Fair Intelligent Admission Control (FIAC) over an enhanced-DiffServ architecture. The central idea is to make admission decision based on both informed internal network QoS states and the external traffic QoS requirements at the edge node. This model has several advantages: (1) it is backward compatible with DiffServ, (2) it adapts to traffic load and network QoS state changes, and (3) it provides interactive communication between the external QoS requirements and the internal DiffServ network capability. In this paper, we use simulation to evaluate the performance of DiffServ with or without FIAC. The performance demonstrates that the new scheme is able to admit traffic fairly and achieve edge-to-edge QoS under heavy traffic conditions and network state changes. © 2005 Published by Elsevier B.V.	en_US
dc.relation.ispartof	Computer Communications	en_US
dc.relation.isbasedon	10.1016/j.comcom.2004.12.022	en_US
dc.subject.classification	Networking & Telecommunications	en_US
dc.title	Fair intelligent admission control over resource-feedback DiffServ network	en_US
dc.type	Journal Article
utslib.citation.volume	15	en_US
utslib.citation.volume	28	en_US
utslib.for	1005 Communications Technologies	en_US
utslib.for	0805 Distributed Computing	en_US
utslib.for	0906 Electrical and Electronic Engineering	en_US
pubs.embargo.period	Not known	en_US
pubs.organisational-group	/University of Technology Sydney
pubs.organisational-group	/University of Technology Sydney/Faculty of Engineering and Information Technology
pubs.organisational-group	/University of Technology Sydney/Faculty of Engineering and Information Technology/School of Electrical and Data Engineering
pubs.organisational-group	/University of Technology Sydney/Faculty of Engineering and Information Technology/School of Systems, Management and Leadership
utslib.copyright.status	closed_access
pubs.issue	15	en_US
pubs.publication-status	Published	en_US
pubs.volume	28	en_US

Abstract:

The basic DiffServ model lacks mechanisms to prevent itself from being overloaded and to inform its internal capability to the external world. This paper addresses the problem by presenting a Fair Intelligent Admission Control (FIAC) over an enhanced-DiffServ architecture. The central idea is to make admission decision based on both informed internal network QoS states and the external traffic QoS requirements at the edge node. This model has several advantages: (1) it is backward compatible with DiffServ, (2) it adapts to traffic load and network QoS state changes, and (3) it provides interactive communication between the external QoS requirements and the internal DiffServ network capability. In this paper, we use simulation to evaluate the performance of DiffServ with or without FIAC. The performance demonstrates that the new scheme is able to admit traffic fairly and achieve edge-to-edge QoS under heavy traffic conditions and network state changes. © 2005 Published by Elsevier B.V.

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http://hdl.handle.net/10453/4005