Data-driven traffic engineering: techniques, experiences and challenges
2006 (English)In: 2006 3RD INTERNATIONAL CONFERENCE ON BROADBAND COMMUNICATIONS, NETWORKS AND SYSTEMS, VOLS 1-3, NEW YORK: IEEE , 2006, 211-220 p.Conference paper (Refereed)
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 WLS 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
NEW YORK: IEEE , 2006. 211-220 p.
IdentifiersURN: urn:nbn:se:kth:diva-26555DOI: 10.1109/BROADNETS.2006.4374362ISI: 000250867800023ScopusID: 2-s2.0-51749111438OAI: oai:DiVA.org:kth-26555DiVA: diva2:385362
3rd International Conference on Broadband Communications Networks and Systems San Jose, CA, OCT 01-05, 2006
QC 201101112011-01-112010-11-252011-10-06Bibliographically approved