Publications
White papers:
I'm co-author and contributor of two HEP Software Foundation community white papers, see http://hepsoftwarefoundation.org/activities/cwp.html
HSF Community White Paper on Data Organization, Management and Access (DOMA)
Machine Learning Community White Paper
Software publications:
Transitioning existing data reduction workflows at the Cornell High Energy Synchrotron Source to Galaxy, Rolf Verberg, Kelly Nygren, Keara Soloway, Valentin Kuznetsov, Devin Bougie, Werner Sun, Platform for Advanced Scientific Computing Conference 2023 (PASC23), Davos, Switzerland, 26-28 June, 2023, DOI 10.5281/zenodo.8132184.
Evaluation and Implementation of Various Persistent Storage Options for CMSWEB Services in Kubernetes Infrastructure at CERN, M. Imran, V. Kuznetsov, P. Paparrigopoulos, S. Trigazis, A Pfeiffer, ACAT 2023 J. Phys.: Conf. Ser. 2438 https://iopscience.iop.org/issue/1742-6596/2438/1
Preparing distributed computing operations for the HL-LHC era with Operational Intelligence, A Di. Girolamo, et. al., https://doi.org/10.3389/fdata.2021.753409
Preparing distributed computing operations for the HLLHC era with Operational Intelligence, A Di. Girolamo, et. al., https://cds.cern.ch/record/2752591/files/ATL-SOFT-PROC-2021-001.pdf
The evolution of the CMS monitoring infrastructure, Christian Ariza-Porras, Valentin Kuznetsov, Federica Legger, Rahul Indra, Nikodemas Tuckus, Ceyhun Uzunoglu, DOI: https://doi.org/10.1051/epjconf/202125102004
Migration of CMSWEB cluster at CERN to Kubernetes: : a comprehensive study, Muhammad Imran, Valentin Kuznetsov, et. al., DOI: 10.1007/s10586-021-03325-0, https://link.springer.com/article/10.1007/s10586-021-03325-0 and https://doi.org/10.22323/1.390.0911, https://arxiv.org/pdf/2102.12751.pdf or https://pos.sissa.it/390/911/pdf
Smart Caching at CMS: applying AI to XCache edge services, Daniele Spiga, Diego Ciangottini, Mirco Tracolli, Tommaso Tedeschi, Daniele Cesini, Tommaso Boccali, Valentina Poggioni, Marco Baioletti, Valentin Kuznetsov, The European Physical Journal Conferences 245:04024 DOI:10.1051/epjconf/202024504024
Big data solutions for CMS computing monitoring and analytics, Christian Ariza-Porras , Valentin Kuznetsov , and Federica Legger, EPJ Web of Conferences 245, 03022 (2020), https://doi.org/10.1051/epjconf/202024503022
MLaaS4HEP: Machine Learning as a Service for HEP, V. Kuznetsov, L. Giommi, D. Bonacorsi, Comput Softw Big Sci 5, 17 (2021). https://doi.org/10.1007/s41781-021-00061-3, or https://arxiv.org/abs/2007.14781
Operational Intelligence for Distributed Computing Systems for Exascale Science, A.i Girolamo, F. Legger , P. Paparrigopoulos , A. Klimentov , J. Schovancová , V. Kuznetsov , M. Lassnig , L. Clissa, L. Rinaldi, M. Sharma , H. Bakhshiansohi , M. Zvada , D. Bonacorsi , S. Tisbeni , L. Giommi, L. Sousa, T. Diotalevi, M. Grigorieva, S. Padolski, EPJ Web of Conferences 245, 03017 (2020), https://doi.org/10.1051/epjconf/202024503017
Using DODAS as deployment manager for smart caching of CMS data management system, M. Tracolli, M. Antonacci, T. Boccali, D. Bonacorsi, D Ciangottini, G. Donvito, C. Duma, L. Gaido, D. Salomoni, D.Spiga, V. Kuznetsov, https://iopscience.iop.org/article/10.1088/1742-6596/1525/1/012057 , doi:10.1088/1742-6596/1525/1/012057
The CMS monitoring infrastructure and applications, C. Ariza-Porras, V. Kuznetsov, F. Legger, Computing Software Big Science 5, 5 (2021). https://doi.org/10.1007/s41781-020-00051-x or https://arxiv.org/abs/2007.03630
Machine Learning as a Service for HEP, V. Kuznetsov, http://arxiv.org/abs/1811.04492
Gaining insight from large data volumes with ease, V. Kuznetsov, http://arxiv.org/abs/1811.04785
Machine Learning in High Energy Physics Community White Paper, K. Albertsson et. al, https://doi.org/10.48550/arXiv.1807.02876 or https://arxiv.org/abs/1807.02876
A Roadmap for HEP Software and Computing R&D for the 2020s, A.A. Alves Jr, et. al, Comput Softw Big Sci (2019) 3, 7, https://doi.org/10.1007/s41781-018-0018-8, or https://arxiv.org/abs/1712.06982
The archive solution for distributed workflow management agents of the CMS experiment at LHC. V. Kuznetsov, N. Fischer, Y. Guo, Computing and Software for Big Science (2018) 2:1, doi: 10.1007/s41781-018-0005-0
Exploiting Apache Spark platform for CMS computing analytics, M. Meoni, V. Kuznetsov, L. Menichetti, J. Rumševičius, T. Boccali, D. Bonacorsi, ACAT 2017, http://arxiv.org/abs/1711.00552
Exploiting analytics techniques in CMS computing monitoring, D. Bonacorsi, V. Kuznetsov, N. Magini, A. Repečka, E. Vaandering, Journal of Physics: Conference Series 898 (2017) 092030 doi:10.1088/1742-6596/898/9/092030
Predicting dataset popularity for the CMS experiment V. Kuznetsov, T. Li, L. Giommi, D. Bonacorsi, T. Wildish Journal of Physics: Conference Series 762 (2016) 012048 doi:10.1088/1742-6596/762/1/012048
Exploring Patterns and Correlations in CMS Computing Operations Data with Big Data Analytics Techniques, D. Bonacorsi, T. Wildish, L. Giommi, V. Kuznetsov, (2015) DOI: https://doi.org/10.22323/1.239.0008
Exploiting CMS data popularity to model the evolution of data management for Run-2 and beyond D. Bonacorsi, T. Boccali, D. Giordano, M. Girone, M. Neri, N. Magini, V. Kuznetsov and T. Wildish J. Phys.: Conf. Ser. 664, 032003 doi:10.1088/1742-6596/664/3/032003
The CMS Data Management System M. Giffels, Y. Guo, V. Kuznetsov, N. Magini and T. Wildish J. Phys.: Conf. Ser. 513 042052 doi:10.1088/1742-6596/513/4/042052
Keyword Search over Data Service Integration for Accurate Results V. Zemleris, V. Kuznetsov and R. Gwadera, J. Phys.: Conf. Ser. 513 032106 doi:10.1088/1742-6596/513/3/032106
Life in extra dimensions of database world or penetration of NoSQL in HEP community V Kuznetsov et al., J. Phys.: Conf. Ser. 396 052043 2012, doi:10.1088/1742-6596/396/5/052043
Data Aggregation System - a system for information retrieval on demand over relational and non-relational distributed data sources G. Ball, V. Kuznetsov, D. Evans and S. Metson, doi:10.1088/1742-6596/331/4/042029
The CMS Data Aggregation System V. Kuznetsov, D. Evans, S. Metson, doi:10.1016/j.procs.2010.04.172
The CMS DBS query language By A. Afaq, V. Kuznetsov, L. Lueking, D.Riley, V. Sekhri, doi:10.1088/1742-6596/219/4/042043
Distributed Analysis in CMS CMS collaboration, doi: 10.1007/s10723-010-9152-1
Provenance in High-Energy Physics Workflows A. Dolgert, L. Gibbons, C.D. Jones, V. Kuznetsov, M. Riedewald, D. Riley, C. Sharp, P. Wittich Computing in Science & Engineering, Vol 10, No. 3, p. 22, 2008
A multi-dimensional view on information retrieval of CMS data A. Dolgert, L. Gibbons, V. Kuznetsov, C. Jones, D. Riley, J. Phys.: Conf. Ser. Volume 119, 072013, 2008
The CMS Dataset Bookkeeping Service A. Afaq, et. al., J. Phys.: Conf. Ser. Volumne 119, 072001, 2008
The New EventStore Data Management System For The CLEO-c Experiment C.D. Jones, V. Kuznetsov, D. Riley, G.J. Sharp, Int. J. Mod. Phys. A20:3868-3870, 2005
Experimental Physics:
Observation of a new boson at a mass of 125 GeV with the CMS experiment at the LHC The CMS Collaboration, arXiv:1207.7235v1, CERN-PH-EP/2012-220, 2012/08/01
Higgs and B physics in Run II, V. Kuznetsov for D0 collaboration, arXiv:hep-ex/0101055
The preliminary results from the NOMAD-STAR detector, V. Kuznetsov for NOMAD experiment, Nuclear Physics B - Proceedings Supplements Volume 78, Issues 1–3, August 1999, Pages 287-292, DOI 10.1016/S0920-5632(99)00559-9
Final NOMAD results on νµ → ντ and νe → ντ oscillations including a new search for ντ appearance using hadronic τ decays, NOMAD experiment, http://cds.cern.ch/record/507056/files/0106102.pdf
Theoretical Physics:
The Toroid Dipole Moment of the Neutrino, V. Dubovik, V. Kuznetsov, International Journal of Modern Physics A 13(30):5257-5277 1998, DOI: 10.1142/S0217751X98002419
Transition Radiation of the Neutrino Toroid Dipole Moment, E. Bukina, V. Dubovik, V. Kuznetsov Physics Letters B 435(1-2) 1998, DOI: 10.1016/S0370-2693(98)00776-X
Relationship Between the Kobayashi-Maskawa and Chau-Keung Presentations of the Quark Mixing Matrix, V. Kuznetsov, V. A. Naumov Il Nuovo Cimento A 108(12):1451-1456 1995, DOI: 10.1007/BF02821061
Geometric phases for three-level non-Hermitian system, S.E. Korenblit, V. Kuznetsov, V. A. Naumov, DOI: 10.13140/RG.2.1.1878.1282