Stream Processing for Optical Network Monitoring with Streaming Telemetry and Video Analytics

Simsarian, J. E.; Hall, Matthew Nance; Hosangadi, Gurudutt; Gripp, J.; Raemdonck, Wolfgang Van; Yu, Jiakai; Sizer, T.

doi:10.1109/ecoc48923.2020.9333169

Cited by 5 publications

(1 citation statement)

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“…Optical telemetry may be extended not only to support isolated online network monitoring, but also to enrich data correlation related to optical network security, such as online video analytics [33]. Agile telemetry systems were also proposed in the critical use case of disaster recovery, addressing high reconfigurability.…”

Section: Telemetry Overviewmentioning

confidence: 99%

A Scalable Telemetry Framework for Zero Touch Optical Network Management

Valcarenghi

Pacini

Sgambelluri

et al. 2021

2021 International Conference on Optical Network Design and Modeling (ONDM)

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The interest about Zero Touch Network and Service Management (ZSM) is rapidly emerging. As defined by ETSI, the ZSM architecture is based on a closed-loop/feedback control of the network and the services. Such closed-loop control can be based on the Boyd's Observe Orient Decide and Act (OODA) loop that matches some specific management functions such as Data Collection, Data Analytics, Intelligence, Orchestration and Control. An efficient implementation of such control loop allows the network to timely adapt to changes and maintain the required quality of service.Many solutions for collecting network parameters (i.e., implementing ZSM data collection) are proposed that fall under the broad umbrella of network telemetry. An example is the Google gRPC, that represented one of the first solutions to provide a framework for data collection. Since then, the number of available frameworks is proliferating. In this paper we propose the utilisation of Apache Kafka as a framework for collecting optical network parameters. Then, the paper goes beyond that by proposing and showing how Apache Kafka can be effective for supporting data exchange and management of whole ZSM closed-loop.Experimental evaluation results show that, even when a large number of data are collected, the solution is scalable and the time to disseminate the parameter values is short. Indeed, the difference between the reception time and the generation time of data is, on average, 40-50ms when about four thousand messages are generated.

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Section: Telemetry Overviewmentioning

confidence: 99%