Abstract
A service provider usually measures the conditions of its service(s) via Key Performance Indicators (KPIs) and lets a Condition Monitoring System (CMS) continuously oversee them. A CMS additionally notifies the responsible workforce of abnormal KPI values. Telecommunication services often show time-varying load characteristic, i.e. their amplitudes of use fluctuate time-dependently. On account of that, a CMS has to cope the Condition Monitoring (CM) of such telecommunication services by dint of fluctuating thresholds. A couple of existing disquisitions have pioneered the calculation of dynamical thresholds to this end. Aside from the normal condition, contemporary CMSs can typically classify into the two measurable abnormal states warning and critical by way of two collaborating thresholds. Up to now, nobody has publicized a mechanism to extract the two ideal thresholds from an array that comprises at least three available ones. This contribution closes this gap by introducing three threshold extraction strategies, scrutinizing their reliability, and recommending ideas for further ones.
This is a preview of subscription content, log in via an institution to check access.
Access this chapter
Tax calculation will be finalised at checkout
Purchases are for personal use only
Similar content being viewed by others
References
Davies, A.W.: Handbook of Condition Monitoring-Techniques and Methodology. Springer, Dordrecht (1996). https://doi.org/10.1007/978-94-011-4924-2
Fahrnberger, G.: Reliable condition monitoring of telecommunication services with time-varying load characteristic. In: Negi, A., Bhatnagar, R., Parida, L. (eds.) ICDCIT 2018. LNCS, vol. 10722, pp. 173–188. Springer, Cham (2018). https://doi.org/10.1007/978-3-319-72344-0_14
Fahrnberger, G.: Outlier removal for the reliable condition monitoring of telecommunication services. In: 2019 20th International Conference on Parallel and Distributed Computing, Applications and Technologies (PDCAT), pp. 240–246 (2019). https://doi.org/10.1109/PDCAT46702.2019.00052
Pukelsheim, F.: The three sigma rule. Am. Stat. 48(2), 88–91 (1994). https://doi.org/10.2307/2684253
Walsh, J.E.: Some nonparametric tests of whether the largest observations of a set are too large or too small. Ann. Math. Stat. 21(4), 583–592 (1950). https://doi.org/10.1214/aoms/1177729753
Walsh, J.E.: Correction to “some nonparametric tests of whether the largest observations of a set are too large or too small”. Ann. Math. Stat. 24(1), 134–135 (1953). https://doi.org/10.1214/aoms/1177729095
Acknowledgments
Many thanks to Bettina Baumgartner from the University of Vienna for proofreading this paper!
Author information
Authors and Affiliations
Corresponding author
Editor information
Editors and Affiliations
Rights and permissions
Copyright information
© 2021 Springer Nature Switzerland AG
About this paper
Cite this paper
Fahrnberger, G. (2021). Threshold Pair Selection for the Reliable Condition Monitoring of Telecommunication Services. In: Krieger, U.R., Eichler, G., Erfurth, C., Fahrnberger, G. (eds) Innovations for Community Services. I4CS 2021. Communications in Computer and Information Science, vol 1404. Springer, Cham. https://doi.org/10.1007/978-3-030-75004-6_2
Download citation
DOI: https://doi.org/10.1007/978-3-030-75004-6_2
Published:
Publisher Name: Springer, Cham
Print ISBN: 978-3-030-75003-9
Online ISBN: 978-3-030-75004-6
eBook Packages: Computer ScienceComputer Science (R0)