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Cautious Weight Tuning for Link State Routing Protocols
KTH, School of Electrical Engineering (EES), Automatic Control.
KTH, School of Electrical Engineering (EES), Automatic Control.
2011 (English)Report (Other academic)
Abstract [en]

Link state routing protocols are widely used for intradomain routing in the Internet. These protocols are simple to administer and automatically update paths between sources and destinations when the topology changes. However, finding link weights that optimize network performance for a given traffic scenario is computationally hard. The situation is even more complex when the traffic is uncertain or time-varying.  We present an efficient heuristic for finding link settings that give uniformly good performance also under large changes in the traffic. The heuristic combines efficient search techniques with a novel objective function. The objective function combines network performance with a cost of deviating from desirable features of robust link weight settings. Furthermore, we discuss why link weight optimization is insensitive to errors in estimated traffic data from link load measurements. We assess performance of our method using traffic data from an operational IP backbone.

Place, publisher, year, edition, pages
2011. , 16 p.
Series
SICS Technocal Report, ISSN 1100-3154 ; 2011:01
National Category
Control Engineering
Identifiers
URN: urn:nbn:se:kth:diva-29557OAI: oai:DiVA.org:kth-29557DiVA: diva2:395653
Funder
ICT - The Next Generation
Note
QC 20110211Available from: 2011-02-07 Created: 2011-02-07 Last updated: 2011-10-30Bibliographically approved
In thesis
1. Aspects of proactive traffic engineering in IP networks
Open this publication in new window or tab >>Aspects of proactive traffic engineering in IP networks
2011 (English)Doctoral thesis, comprehensive summary (Other academic)
Abstract [en]

To deliver a reliable communication service over the Internet it is essential for the network operator to manage the traffic situation in the network. The traffic situation is controlled by the routing function which determines what path traffic follows from source to destination.  Current practices for setting routing parameters in IP networks are designed to be simple to manage. This can lead to congestion in parts of the network while other parts of the network are far from fully utilized. In this thesis we explore issues related to optimization of the routing function to balance load in the network and efficiently deliver a reliable communication service to the users. The optimization takes into account not only the traffic situation under normal operational conditions, but also traffic situations that appear under a wide variety of circumstances deviating from the nominal case. In order to balance load in the network knowledge of the traffic situations is needed. Consequently, in this thesis we investigate methods for efficient derivation of the traffic situation. The derivation is based on estimation of traffic demands from link load measurements. The advantage of using link load measurements is that they are easily obtained and consist  of a limited amount of data that need to be processed. We evaluate and demonstrate how estimation based on link counts gives the operator a fast and accurate description of the traffic demands. For the evaluation we have access to a unique data set of complete traffic demands from an operational IP backbone.  However, to honor service level agreements at all times the variability of the traffic needs to be accounted for in the load balancing. In addition, optimization techniques are often sensitive to errors and variations in input data. Hence, when an optimized routing setting is subjected to real traffic demands in the network, performance often deviate from what can be anticipated from the optimization. Thus, we identify and model different traffic uncertainties and describe how the routing setting can be optimized, not only for a nominal case, but for a wide range of different traffic situations that might appear in the network.  Our results can be applied in MPLS enabled networks as well as in networks using link state routing protocols such as the widely used OSPF and IS-IS protocols. Only minor changes may be needed in current networks to implement our algorithms. The contributions of this thesis is that we: demonstrate that it is possible to estimate the traffic matrix with acceptable precision, and we develop methods and models for common traffic uncertainties to account for these uncertainties in the optimization of the routing configuration. In addition, we identify important properties in the structure of the traffic to successfully balance uncertain and varying traffic demands.

Place, publisher, year, edition, pages
Stockholm: KTH Royal Institute of Technology, 2011. xi, 63 p.
Series
Trita-EE, ISSN 1653-5146
National Category
Control Engineering
Identifiers
urn:nbn:se:kth:diva-29558 (URN)978-91-7415-870-0 (ISBN)
Public defence
2011-03-01, F3, Lindstedtsvägen 26, KTH, Stockholm, 13:00 (English)
Supervisors
Note
QC 20110211Available from: 2011-02-11 Created: 2011-02-07 Last updated: 2011-02-11Bibliographically approved

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Citation style
  • apa
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