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MATE: MPLS adaptive traffic engineering

Elwalid, Anwar and Jin, Cheng and Low, Steven and Widjaja, Indra (2001) MATE: MPLS adaptive traffic engineering. In: 20th Annual Joint Conference of the IEEE Computer and Communications Societies. Vol.3. IEEE , Piscataway, NJ, pp. 1300-1309. ISBN 0-7803-7016-3.

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Destination-based forwarding in traditional IP routers has not been able to take full advantage of multiple paths that frequently exist in Internet service provider networks. As a result, the networks may not operate efficiently, especially when the traffic patterns are dynamic. This paper describes a multipath adaptive traffic engineering mechanism, called MATE, which is targeted for switched networks such as multiprotocol label switching (MPLS) networks. The main goal of MATE is to avoid network congestion by adaptively balancing the load among multiple paths based on measurement and analysis of path congestion. MATE adopts a minimalist approach in that intermediate nodes are not required to perform traffic engineering or measurements besides normal packet forwarding. Moreover MATE does not impose any particular scheduling, buffer management, or a priori traffic characterization on the nodes. This paper presents an analytical model, derives a class of MATE algorithms, and proves their convergence. Several practical design techniques to implement MATE are described. Simulation results are provided to illustrate the efficacy of MATE under various network scenarios.

Item Type:Book Section
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Low, Steven0000-0001-6476-3048
Additional Information:© 2001 IEEE.
Subject Keywords:Multiprotocol label switching, Telecommunication traffic, Routing, Traffic control, Reliability engineering, IP networks, Web and internet services, Communications technology, Rivers, Performance evaluation
Record Number:CaltechAUTHORS:20170810-111700737
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Official Citation:A. Elwalid, C. Jin, S. Low and I. Widjaja, "MATE: MPLS adaptive traffic engineering," Proceedings IEEE INFOCOM 2001. Conference on Computer Communications. Twentieth Annual Joint Conference of the IEEE Computer and Communications Society (Cat. No.01CH37213), Anchorage, AK, 2001, pp. 1300-1309 vol.3. doi: 10.1109/INFCOM.2001.916625 URL:
Usage Policy:No commercial reproduction, distribution, display or performance rights in this work are provided.
ID Code:80109
Deposited By: Zhaojian Wang
Deposited On:14 Aug 2017 18:55
Last Modified:15 Nov 2021 17:52

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