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Improving data center network utilization using near-optimal traffic engineering

journal contribution
posted on 01.08.2018, 09:14 authored by Fung Po TsoFung Po Tso, Dimitrios P. Pezaros
Equal cost multiple path (ECMP) forwarding is the most prevalent multipath routing used in data center (DC) networks today. However, it fails to exploit increased path diversity that can be provided by traffic engineering techniques through the assignment of nonuniform link weights to optimize network resource usage. To this extent, constructing a routing algorithm that provides path diversity over nonuniform link weights (i.e., unequal cost links), simplicity in path discovery and optimality in minimizing maximum link utilization (MLU) is nontrivial. In this paper, we have implemented and evaluated the Penalizing Exponential Flow-spliTing (PEFT) algorithm in a cloud DC environment based on two dominant topologies, canonical and fat tree. In addition, we have proposed a new cloud DC topology which, with only a marginal modification of the current canonical tree DC architecture, can further reduce MLU and increase overall network capacity utilization through PEFT routing.

History

School

  • Science

Department

  • Computer Science

Published in

IEEE Transactions on Parallel & Distributed Systems

Citation

TSO, F.P. and PEZAROS, D.P., 2012. Improving data center network utilization using near-optimal traffic engineering. IEEE Transactions on Parallel and Distributed Systems, 24 (6), pp.1139-1148.

Publisher

© IEEE

Version

VoR (Version of Record)

Publisher statement

This work is made available according to the conditions of the Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 International (CC BY-NC-ND 4.0) licence. Full details of this licence are available at: https://creativecommons.org/licenses/by-nc-nd/4.0/

Publication date

2012

Notes

This paper is closed access.

ISSN

1045-9219

eISSN

1558-2183

Language

en