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A Proactive Restoration Strategy for Optical Cloud Networks Based on Failure Predictions
KTH, School of Electrical Engineering and Computer Science (EECS), Communication Systems, CoS, Optical Network Laboratory (ON Lab).ORCID iD: 0000-0001-7501-5547
Fed Univ Minas Gerais UFMG, Belo Horizonte, MG, Brazil..
Fed Univ Minas Gerais UFMG, Belo Horizonte, MG, Brazil..
Fed Univ Minas Gerais UFMG, Belo Horizonte, MG, Brazil..
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2018 (English)In: 20th International Conference on Transparent Optical Networks, ICTON 2018 / [ed] Jaworski, M Marciniak, M, Institute of Electrical and Electronics Engineers (IEEE), 2018, article id 8473938Conference paper, Published paper (Refereed)
Abstract [en]

Failure prediction based on the anomaly detection/forecasting is becoming a reality thanks to the introduction of machine learning techniques. The orchestration layer can leverage on this new feature to proactively reconfigure cloud services that might find themselves traversing an element that is about to fail. As a result, the number of cloud service interruptions can be reduced with beneficial effects in terms of cloud service availability. Based on the above intuition, this paper presents an orchestration strategy for optical cloud networks able to reconfigure vulnerable cloud services (i.e., the ones that would be disrupted if a predicted failure happens) before an actual failure takes place. Simulation results demonstrate that, with a single link failure scenario, proactive restoration can lead to up to 97% less cloud services having to be relocated. This result brings considerable benefits in terms of cloud service availability, especially in low load conditions. It is also shown that these improvements come with almost no increase in the cloud service blocking probability performance,i.e., resource efficiency is not impacted.

Place, publisher, year, edition, pages
Institute of Electrical and Electronics Engineers (IEEE), 2018. article id 8473938
Series
International Conference on Transparent Optical Networks-ICTON, ISSN 2162-7339
Keywords [en]
Proactive recovery, Failure prediction, Resiliency, Cloud services, Availability, Restoration, Software defined networking (SDN), Orchestration, Cloud service relocation
National Category
Communication Systems
Identifiers
URN: urn:nbn:se:kth:diva-249911DOI: 10.1109/ICTON.2018.8473938ISI: 000462559300315Scopus ID: 2-s2.0-85055475932ISBN: 978-1-5386-6605-0 (print)OAI: oai:DiVA.org:kth-249911DiVA, id: diva2:1313132
Conference
20th International Conference on Transparent Optical Networks (ICTON), JUL 01-05, 2018, Univ Politehnica Bucharest, Cent Lib, Bucharest, ROMANIA
Note

QC 20190502

Available from: 2019-05-02 Created: 2019-05-02 Last updated: 2019-05-02Bibliographically approved

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Natalino, CarlosWosinska, LenaMonti, Paolo

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