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Towards declarative self-adapting buffer management

Chuprikov, Pavel and Nikolenko, Sergey and Kogan, Kirill (2020) Towards declarative self-adapting buffer management. [Magazine Articles]

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Abstract

Buffering architectures and policies for their efficient management are one of the core ingredients of network architecture. However, despite strong incentives to experiment with and deploy new policies, opportunities for changing or automatically choosing anything beyond a few parameters in a predefined set of behaviors still remain very limited. We introduce a novel buffer management framework based on machine learning approaches which automatically adapts to traffic conditions changing over time and requires only limited knowledge from network operators about the dynamics and optimality of desired behaviors. We validate and compare various design options with a comprehensive evaluation study.

Item Type: Magazine Articles
Subjects: UNSPECIFIED
Divisions: UNSPECIFIED
Depositing User: Rebeca De Miguel
Date Deposited: 10 Nov 2020 11:39
Last Modified: 10 Nov 2020 11:39
URI: http://eprints.networks.imdea.org/id/eprint/2217

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