Scipediacontent: Scipediacontent moved page Draft Content 809359845 to Ghobadi et al 2019a

2021-02-02T00:46:55Z

Scipediacontent moved page Draft Content 809359845 to Ghobadi et al 2019a

Scipediacontent: Created page with " == Abstract == To keep up with the continuous growth in demand, cloud providers spend millions of dollars augmenting the capacity of their wide-area backbones and devote sig..."

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Created page with " == Abstract == To keep up with the continuous growth in demand, cloud providers spend millions of dollars augmenting the capacity of their wide-area backbones and devote sig..."

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== Abstract ==

To keep up with the continuous growth in demand, cloud providers spend millions of dollars augmenting the capacity of their wide-area backbones and devote significant effort to efficiently utilizing WAN capacity. A key challenge is striking a good balance between network utilization and availability, as these are inherently at odds; a highly utilized network might not be able to withstand unexpected traffic shifts resulting from link/node failures. We advocate a novel approach to this challenge that draws inspiration from financial risk theory: leverage empirical data to generate a probabilistic model of network failures and maximize bandwidth allocation to network users subject to an operator-specified availability target. Our approach enables network operators to strike the utilization-availability balance that best suits their goals and operational reality. We present TEAVAR (Traffic Engineering Applying Value at Risk), a system that realizes this risk management approach to traffic engineering (TE). We compare TEAVAR to state-of-the-art TE solutions through extensive simulations across many network topologies, failure scenarios, and traffic patterns, including benchmarks extrapolated from Microsoft's WAN. Our results show that with TEAVAR, operators can support up to twice as much throughput as state-of-the-art TE schemes, at the same level of availability.

== Original document ==

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

* [https://dl.acm.org/doi/pdf/10.1145/3341302.3342069?download=true https://dl.acm.org/doi/pdf/10.1145/3341302.3342069?download=true]

* [http://dl.acm.org/ft_gateway.cfm?id=3342069&ftid=2079988&dwn=1 http://dl.acm.org/ft_gateway.cfm?id=3342069&ftid=2079988&dwn=1],
: [http://dx.doi.org/10.1145/3341302.3342069 http://dx.doi.org/10.1145/3341302.3342069] under the license http://www.acm.org/publications/policies/copyright_policy#Background

* [https://dblp.uni-trier.de/db/conf/sigcomm/sigcomm2019.html#BogleBGMBVS19 https://dblp.uni-trier.de/db/conf/sigcomm/sigcomm2019.html#BogleBGMBVS19],
: [https://www.microsoft.com/en-us/research/uploads/prod/2019/07/teavar_sigcomm_2019.pdf https://www.microsoft.com/en-us/research/uploads/prod/2019/07/teavar_sigcomm_2019.pdf],
: [https://www.microsoft.com/en-us/research/publication/teavar-striking-the-right-utilization-availability-balance-in-wan-traffic-engineering https://www.microsoft.com/en-us/research/publication/teavar-striking-the-right-utilization-availability-balance-in-wan-traffic-engineering],
: [https://dl.acm.org/citation.cfm?doid=3341302.3342069 https://dl.acm.org/citation.cfm?doid=3341302.3342069],
: [https://doi.org/10.1145/3341302.3342069 https://doi.org/10.1145/3341302.3342069],
: [http://doi.org/10.1145/3341302.3342069 http://doi.org/10.1145/3341302.3342069],
: [https://dl.acm.org/citation.cfm?id=3342069 https://dl.acm.org/citation.cfm?id=3342069],
: [https://academic.microsoft.com/#/detail/2955233423 https://academic.microsoft.com/#/detail/2955233423]

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Ghobadi et al 2019a - Revision history

Scipediacontent: Scipediacontent moved page Draft Content 809359845 to Ghobadi et al 2019a

Scipediacontent: Created page with " == Abstract == To keep up with the continuous growth in demand, cloud providers spend millions of dollars augmenting the capacity of their wide-area backbones and devote sig..."