ALGORITHMIC MODEL OF A DISTRIBUTED CORPORATE NOTIFICATION SYSTEM IN CONTEXT OF A CORPORATE CYBER-PHYSICAL SYSTEM

This paper discusses an architecture of a corporate notification system, ensuring information support for enterprise staff and belongs to the corporate cyber-physical system. The tasks of this system include: display of content on mobile devices and stationary displays; management of content data and its presentation; personalized content prioritization. The proposed corporate notification system provides digital content display and embraces the following components: the backend – main functional unit, being run on the corporate cyber-physical system application server, including, particularly, the software units for interoperation with data stores, as well software components, coupled with the software of the stationary screens. The interaction scenarios of stationary screens and corporate notification system server backend are considered to implement schedule management, events, as well management of content, uploaded into the system. Algorithmic model is proposed for dynamic composition and prioritization of user notifications, based on content classification groups, user access levels, relevant event lists and their relevance periods. The proposed corporate notification system employs usual networking technologies and has no dependencies with certain proprietary hardware and software platforms. It meets extensibility and portability criteria and can be integrated into existing corporate cyber-physical system as a new component.

1. Colombo A.W. et al. Industrial cyberphysical systems: A backbone of the fourth industrial revolution. IEEE Industrial Electronics Magazine. 2017;11(1): 6-16

2. Ronzhin A.L., Zelezny M. Digitalization of Management Processes in Scientific and Educational Organizations. Administrative Consulting. 2018;10(118):109-117.

3. Ronzhin A. et al. Conceptual model of cyberphysical environment based on collaborative work of distributed means and mobile robots. International Conference on Interactive Collaborative Robotics. Springer, Cham. 2016:32-39.

4. Bakhmut A.D. et al.A review of the state of research on the tasks of computer-aided design of intelligent decision support systems for managing complex objects at all stages of their life cycle. Problems of control and modeling in complex systems Proceedings of the XX International Conference. Edited by E.A. Fedosova, N.A. Kuznetsova, S.Yu. Borovika. 2018:307-313.

5. Bures T. et al. Software engineering for smart cyber-physical systems: Challenges and promising solutions. ACM SIGSOFT Software Engineering Notes. 2017;42(2):19-24.

6. Alferov V.V. et al. Principles and approaches to the use of service-oriented architecture for the formation of the intellectual information space of an enterprise. Information Technologies in Management (ITM-2018). 2018:101-109.

7. Levonevskiy D.K., Vatamaniuk I.V., Malov D.A. Ensuring the availability of services of the corporate intellectual space through the control of the input data stream. Software Engineering. 2019;10(1):20-29.

8. Levonevskiy D.K., Vatamaniuk I.V., Saveliev A.I. MINOS Multimodal Information and Navigation Cloud System for the Corporate Cyber-Physical Smart Space. Software engineering. 2017;3:120-128.