Scipediacontent: Scipediacontent moved page Draft Content 156855492 to Markopoulou et al 2016a

2021-02-01T15:19:11Z

Scipediacontent moved page Draft Content 156855492 to Markopoulou et al 2016a

Scipediacontent: Created page with " == Abstract == To optimize the flow of traffic in IP networks, operators do traffic engineering (TE), i.e., tune routing-protocol parameters in response to traffic demands...."

2021-02-01T15:19:07Z

Created page with " == Abstract == To optimize the flow of traffic in IP networks, operators do traffic engineering (TE), i.e., tune routing-protocol parameters in response to traffic demands...."

New page

== Abstract ==

To optimize the flow of traffic in IP networks, operators do traffic engineering (TE), i.e., tune routing-protocol parameters in response to traffic demands. TE in IP networks typically involves configuring static link weights and splitting traffic between the resulting shortest-paths via the Equal-Cost-MultiPath (ECMP) mechanism. Unfortunately, ECMP is a notoriously cumbersome and indirect means for optimizing traffic flow, often leading to poor network performance. Also, obtaining accurate knowledge of traffic demands as the input to TE is elusive, and traffic conditions can be highly variable, further complicating TE. We leverage recently proposed schemes for increasing ECMP's expressiveness via carefully disseminated bogus information ("lies") to design COYOTE, a readily deployable TE scheme for robust and efficient network utilization. COYOTE leverages new algorithmic ideas to configure (static) traffic splitting ratios that are optimized with respect to all (even adversarially chosen) traffic scenarios within the operator's "uncertainty bounds". Our experimental analyses show that COYOTE significantly outperforms today's prevalent TE schemes in a manner that is robust to traffic uncertainty and variation. We discuss experiments with a prototype implementation of COYOTE.

== Original document ==

The different versions of the original document can be found in:

* [http://arxiv.org/abs/1610.02728 http://arxiv.org/abs/1610.02728]

* [http://arxiv.org/pdf/1610.02728 http://arxiv.org/pdf/1610.02728]

* [http://dx.doi.org/10.1145/2999572.2999585 http://dx.doi.org/10.1145/2999572.2999585] under the license http://www.acm.org/publications/policies/copyright_policy#Background

* [https://dblp.uni-trier.de/db/journals/corr/corr1610.html#ChiesaRS16 https://dblp.uni-trier.de/db/journals/corr/corr1610.html#ChiesaRS16],
: [https://dl.acm.org/citation.cfm?id=2999585 https://dl.acm.org/citation.cfm?id=2999585],
: [https://core.ac.uk/display/73390475 https://core.ac.uk/display/73390475],
: [http://www.diva-portal.org/smash/record.jsf?pid=diva2:1180774 http://www.diva-portal.org/smash/record.jsf?pid=diva2:1180774],
: [https://arxiv.org/abs/1610.02728 https://arxiv.org/abs/1610.02728],
: [https://doi.acm.org/10.1145/2999572.2999585 https://doi.acm.org/10.1145/2999572.2999585],
: [http://dblp.uni-trier.de/db/journals/corr/corr1610.html#ChiesaRS16 http://dblp.uni-trier.de/db/journals/corr/corr1610.html#ChiesaRS16],
: [https://doi.org/10.1145/2999572.2999585 https://doi.org/10.1145/2999572.2999585],
: [https://dial.uclouvain.be/pr/boreal/object/boreal:182799 https://dial.uclouvain.be/pr/boreal/object/boreal:182799],
: [https://academic.microsoft.com/#/detail/2530961946 https://academic.microsoft.com/#/detail/2530961946]

* [https://dl.acm.org/ft_gateway.cfm?id=2999585&ftid=1815745&dwn=1 https://dl.acm.org/ft_gateway.cfm?id=2999585&ftid=1815745&dwn=1],
: [http://dx.doi.org/10.1145/2999572.2999585 http://dx.doi.org/10.1145/2999572.2999585] under the license http://www.acm.org/publications/policies/copyright_policy#Background

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Markopoulou et al 2016a - Revision history

Scipediacontent: Scipediacontent moved page Draft Content 156855492 to Markopoulou et al 2016a

Scipediacontent: Created page with " == Abstract == To optimize the flow of traffic in IP networks, operators do traffic engineering (TE), i.e., tune routing-protocol parameters in response to traffic demands...."