Applying data visualization for failure localization
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hdl:2117/123428
Document typeConference report
Defense date2018
PublisherInstitute of Electrical and Electronics Engineers (IEEE)
Rights accessRestricted access - publisher's policy
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
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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)
COGNITIVE 5G APPLICATION-AWARE OPTICAL METRO NETWORKS INTEGRATING MONITORING, DATA ANALYTICS AND OPTIMIZATION (AEI-TEC2017-90097-R)
Abstract
Data visualization is applied to BER measures in a bigdata repository. Bubble charts are produced to identify lightpaths with increasing BER and spectrum color maps are then used to identify the most likely degraded link
CitationVela, A., Ruiz, M., Velasco, L. Applying data visualization for failure localization. A: Optical Fiber Communication Conference and Exposition. "2018 Optical Fiber Communications Conference and Exposition (OFC): San Diego, California, USA 11–15 March 2018: proceedings". Institute of Electrical and Electronics Engineers (IEEE), 2018, p. 1-3.
ISBN978-1-943580-38-5
Publisher versionhttps://www.osapublishing.org/abstract.cfm?URI=OFC-2018-W1D.5
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