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Please use this identifier to cite or link to this item: https://dspace.lboro.ac.uk/2134/34239

Title: Improving data center network utilization using near-optimal traffic engineering
Authors: Tso, Fung Po
Pezaros, Dimitrios P.
Keywords: Data center routing
Data center topology
Multipath routing
Traffic engineering
Load balancing
Cloud computing
Issue Date: 2012
Publisher: © IEEE
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.
Abstract: 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.
Description: This paper is closed access.
Version: Published
DOI: 10.1109/TPDS.2012.343
URI: https://dspace.lboro.ac.uk/2134/34239
Publisher Link: https://doi.org/10.1109/TPDS.2012.343
ISSN: 1045-9219
Appears in Collections:Closed Access (Computer Science)

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