Abstract
The chapter describes the main problems of monitoring the POS-networks operation. The task of developing a new method of storing and processing data of the POS-devices network for effective monitoring of events and processes occurring in it is considered. The main problems associated with storing data about the topology of the POS-network, its structural elements, events and processes occurring in it are formulated. Storage methods and data processing algorithms that can solve actual problems when solving the problem of monitoring a large number of POS devices are described.
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
References
Palshikar, G.K.: The hidden truth—frauds and their control: a critical application for business intelligence. Intell. Enterp. 5(9), 46–51 (2002)
Kamaev, V.A., Finogeev, A.G., Finogeev, A.A., Parygin, D.S.: Attacks and intrusion detection in wireless sensor networks of industrial SCADA systems. J. Phys. Conf. Ser. 803, 012063. http://iopscience.iop.org/papers/10.1088/1742-6596/803/1/012063/pdf. Last accessed 18 Mar 2019
Makarov V., Gaponenko V., Toropov B., Kupriyanov A.: Theoretical and applied aspects of orthogonal coding in computer networks technologies. In: Kravets A. (eds.) Big Data-Driven World: Legislation Issues and Control Technologies. Studies in Systems, Decision and Control, vol 181. Springer, Cham (2019)
Avdeyuk, O.A., Kozlov, D.V., Druzhinina, L.V., Tarasova, I.A.: Fraud prevention in the system of electronic payments on the basis of POS-networks security monitoring. In: Trapeznikov, V.A. (ed.) IEEE Tenth International Conference «Management of large-scale system development» (MLSD’2017). Moscow, Russia, 2–4 Oct 2017. Proceedings, 4p. Institute of Control Sciences of Russian Academy of Sciences, IEEE (Institute of Electrical and Electronics Engineers) (2017). https://doi.org/10.1109/mlsd.2017.8109597
Wingerath, W.: A Real-Time Database Survey: The Architecture of Meteor, RethinkDB, Parse & Firebase. https://medium.baqend.com/real-time-databases-explained-why-meteor-rethinkdb-parse-and-firebase-dont-scale-822ff87d2f87. Last accessed 30 Mar 2019
Kozlov, D., Druzhinina, L., Sadovnikova, N., Petrova, D. (eds.) Displaying the flow of the event of the POS-devices network for building an effective monitoring system. In: Proceedings of 2018 11th International Conference Management of Large-Scale System Development, MLSD 2018. Moscow (2018)
West, M.: Developing High-Quality Data Models. Morgan Kaufmann (2011)
Leggetter, P.: Real-Time Web Technologies Guide. https://www.leggetter.co.uk/real-time-web-technologies-guide/. Last accessed 15 Feb 2019
Fowler, M.: Event Sourcing: Capture all Changes to an Application State as a Sequence of Events, 12 Dec 2005
Buchmann, A.: Real-time database systems. In: Rivero, L.C., Doorn, J.H., Ferraggine, V.E. (eds.) Encyclopedia of Database Technologies and Applications. Idea Group (2005)
The open-source database for the realtime web. https://www.rethinkdb.com/. Last accessed 10 Mar 2019
Xu H., Hipel K.W., Kilgour D.M., Fang L.: Conflict models in graph form. In: Conflict Resolution Using the Graph Model: Strategic Interactions in Competition and Cooperation. Studies in Systems, Decision, and Control, vol 153. Springer, Cham (2018)
Robinson, I., Webber, J., Eifrem, E.: Graph databases. In: New Opportunities for Connected Data, 2nd edn., p. 238. O’Reilly Media, June 2015
Vicknair, C., Macias, M., Zhao, Z., Nan, X., Chen, Y., Wilkins, D: A comparison of a graph database and a relational database: a data provenance perspective. In: ACM Southeast Regional Conference. Published 2010. https://doi.org/10.1145/1900008.1900067
Acknowledgements
The reported study was funded by Russian Foundation for Basic Research according to the research project No. 18-37-20066_mol_a_ved.
Author information
Authors and Affiliations
Corresponding author
Editor information
Editors and Affiliations
Rights and permissions
Copyright information
© 2020 Springer Nature Switzerland AG
About this chapter
Cite this chapter
Kozlov, D., Sadovnikova, N., Parygin, D. (2020). Data Storage Model for Organizing the Monitoring of POS-Networks Processes and Events. In: Kravets, A., Bolshakov, A., Shcherbakov, M. (eds) Cyber-Physical Systems: Industry 4.0 Challenges. Studies in Systems, Decision and Control, vol 260. Springer, Cham. https://doi.org/10.1007/978-3-030-32648-7_3
Download citation
DOI: https://doi.org/10.1007/978-3-030-32648-7_3
Published:
Publisher Name: Springer, Cham
Print ISBN: 978-3-030-32647-0
Online ISBN: 978-3-030-32648-7
eBook Packages: EngineeringEngineering (R0)