Autonomic content delivery network service

Velasco Esteban, Luis Domingo; Gifré Renom, Lluís; Ruiz Ramírez, Marc

doi:10.1109/ICTON.2019.8840352

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Velasco Esteban, Luis Domingo

Gifré Renom, Lluís

Ruiz Ramírez, Marc

Document typeConference report

Defense date2019

Rights accessOpen Access

All rights reserved. This work is protected by the corresponding intellectual and industrial property rights. Without prejudice to any existing legal exemptions, reproduction, distribution, public communication or transformation of this work are prohibited without permission of the copyright holder

ProjectMETRO-HAUL - METRO High bandwidth, 5G Application-aware optical network, with edge storage, compUte and low Latency (EC-H2020-761727)
COGNITIVE 5G APPLICATION-AWARE OPTICAL METRO NETWORKS INTEGRATING MONITORING, DATA ANALYTICS AND OPTIMIZATION (AEI-TEC2017-90097-R)

Abstract

We focus on a use case where a virtualized Content Delivery Network (CDN) service autonomously adapts to the load by requesting the instantiation of new VMs in selected leaf cache nodes, as well as by incrementing the capacity of the network connecting users with the caches. Autonomous decisions are supported by the use of data analytics techniques on monitoring data. Experimental validation supports the feasibility of the proposed autonomic CDN service.

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© 2019 IEEE. Personal use of this material is permitted. Permission from IEEE must be obtained for all other uses, in any current or future media, including reprinting/republishing this material for advertising or promotional purposes,creating new collective works, for resale or redistribution to servers or lists, or reuse of any copyrighted component of this work in other works.

CitationVelasco, L.; Gifré, L.; Ruiz, M. Autonomic content delivery network service. A: International Conference on Transparent Optical Networks. "ICTON 2019, 21st International Conference on Transparent Optical Networks: 9-13 July 2019, Angers France". 2019, p. 1-4. ISBN 978-1-7281-2779-8. DOI 10.1109/ICTON.2019.8840352.

URIhttp://hdl.handle.net/2117/330306

DOI10.1109/ICTON.2019.8840352

ISBN978-1-7281-2779-8

Other identifiershttps://ieeexplore.ieee.org/document/8840352

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