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Data-driven traffic engineering: techniques, experiences and challenges
RISE, Swedish ICT, SICS. CNA.
Number of Authors: 2
2006 (English)Conference paper, (Refereed)
Abstract [en]

This paper presents a global view of measurement-driven traffic engineering , explores the interplay between traffic matrix estimation and routing optimization and demonstrates how demand uncertainties can be accounted for in the optimization step to guarantee a robust and reliable result. Based on a unique data set of complete measured traffic matrices, we quantify the demand uncertainties in an operational IP network and demonstrate how a number of robust optimization schemes allow to find fixed MPLS configurations that are close to the performance limits given by time-varying routing under full demand knowledge. We present a novel scheme for computing a sparse MPLS mesh to complement a baseline routing, and explore how the performance depends on the size of the partial mesh. Corresponding methods for robust OSPF optimization are discussed and a number of challenges are detailed.

Place, publisher, year, edition, pages
2006, 1. , 10 p.
National Category
Computer and Information Science
Identifiers
URN: urn:nbn:se:ri:diva-21151OAI: oai:DiVA.org:ri-21151DiVA: diva2:1041185
Conference
Broadnets 2006
Available from: 2016-10-31 Created: 2016-10-31Bibliographically approved

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Citation style
  • apa
  • harvard1
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Language
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  • en-GB
  • en-US
  • fi-FI
  • nn-NO
  • nn-NB
  • sv-SE
  • Other locale
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Output format
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