On optimizing Inband Telemetry systems for accurate latency-based service deployments
<|reference_start|>On optimizing Inband Telemetry systems for accurate latency-based service deployments: The power of Machine Learning and Artificial Intelligence algorithms based on collected datasets, along with the programmability and flexibility provided by Software Defined Networking can provide the building blocks for constructing the so-called Zero-Touch Network and Service Management systems. However, the fuel towards this goal relies on the availability of sufficient and good-quality data collected from measurements and telemetry. This article provides a telemetry methodology to collect accurate latency measurements, as a first step toward building intelligent control planes that make correct decisions based on precise information.<|reference_end|>
@article{koneva2024on,
    title={On optimizing Inband Telemetry systems for accurate latency-based
  service deployments},
    author={Nataliia Koneva, Alfonso S'anchez-Maci'an, Jos'e Alberto
  Hern'andez, 'Oscar Gonz'alez de Dios},
    journal={The 28th International Conference on Optical Network Design and
  Modelling (ONDM 2024)},
    year={2024},
    archivePrefix={arXiv},
    eprint={2406.12594},
    primaryClass={cs.NI}
}