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{"references": ["A. Anastasiou and P. Fryzlewicz. Detecting multiple generalized change-points by isolating single ones. arXiv preprint arXiv:1901.10852, 2019.", "G. Apollinari, I. B\u00e9jar Alonso, O. Br\u00fcning, P. Fessia, M. Lamont, L. Rossi, and L. Tavian. High-Luminosity Large Hadron Collider (HL-LHC): Technical Design Report V. 0.1. CERN Yellow Reports: Monographs. CERN, Geneva, 2017. doi: 10.23731/CYRM-2017-004.", "P. Fearnhead, R. Maidstone, and A. Letchford. Detecting changes in slope with an L0 penalty. Journal of Computational and Graphical Statistics, 28(2): 265\u2013275, 2019.", "K. Haynes, P. Fearnhead, and I. A. Eckley. A computationally efficient nonparametric approach for changepoint detection. Statistics and Computing, 27 (5):1293\u20131305, 2017.", "R. Killick, P. Fearnhead, and I. A. Eckley. Optimal detection of changepoints with a linear computational cost. Journal of the American Statistical Association, 107(500):1590\u20131598, 2012.", "L. X. Kuffo Rivero. POSEIDON: Analyzing the secrets of the Trident Node monitoring. Technical report, CERN Openlab, Nov. 2018.", "R. Maidstone, T. Hocking, G. Rigaill, and P. Fearnhead. On optimal multiple changepoint algorithms for large data. Statistics and Computing, 27(2):519\u2013 533, 2017.", "C. Zou, G. Yin, L. Feng, and Z. Wang. Nonparametric maximum likelihood approach to multiple change-point problems. The Annals of Statistics, 42(3): 970\u20131002, 2014."]}
Starting from univariate signals coming from test workloads run under different restriction a consistent single-dimensional signal parametrization method through piecewise-linear functions was defined and packaged in a ready-to-use suite. The results could be used to characterize the signals and measure their reactions to changes in computing and/or network resources. More work is still needed for the multidimensional case.
Signal parametrization, summer-student programme, Time Series, CERN openlab
Signal parametrization, summer-student programme, Time Series, CERN openlab
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