Johansson, Mikael and Gunnar, Anders (2006) Data-driven traffic engineering: techniques, experiences and challenges. In: Broadnets 2006, 1-5 October 2006, San Jose, California. (In Press)
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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.
|Item Type:||Conference or Workshop Item (Paper)|
|Deposited By:||Vicki Carleson|
|Deposited On:||29 Sep 2006|
|Last Modified:||18 Nov 2009 15:56|
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