Determination of Parametric Space of Indicators for Evaluation of Availability of Infocommunications Process in Wireless Centralized Network Cluster

Authors

  • O. M. Danylchuk Vasyl’ Stus Donetsk National University
  • V. V. Kovtun Vinnytsia National Technical University
  • O. D. Nykytenko Vinnytsia National Technical University
  • Yu. Yu. Nestiuk Vinnytsia National Technical University
  • V. V. Prysiazhniuk Vinnytsia National Technical University

DOI:

https://doi.org/10.31649/1997-9266-2022-160-1-50-64

Keywords:

centralized network cluster, infocommunication interaction session, mathematical model, parametric space of accessibility indicators, Markov queuing system

Abstract

The article analytically defines the model of parametric space of indicators for assessing the availability of infocommunication process in a wireless centralized network cluster. The researched process is described as a Markov queuing system, the controlled parameter of which is the total amount of occupied system resources for all active sessions of info-communication interaction. The defined space of qualitative stochastic characteristics included: the average amount of occupied system resources and the average number of active sessions of infocommunication interaction in the information environment of the base station; the probability of losing the incoming request due to insufficient free system resources or lack of free communication channels on the base station side. Also, the functional dependences of the values of the listed qualitative characteristics on the type and parameters of the volume distribution function of the released system resources of the base station are analytically determined. As additional controlled parameters in the created model such characteristics as the level of loading of the front-end interface of the base station and the desired amount of system resources specified in the input request are taken into account.

From the results of empirical research of the created mathematical apparatus it was found that with increasing load on the front-end interface of the studied system, the values of all characteristic parameters of the metric of qualitative indicators increase. Note that the simultaneous increase in the values of the average volume of occupied system resources and the average number of active sessions of infocommunication interaction occurs almost linearly, in contrast to the behavior of the value of the probability of loss of incoming request, which increases exponentially. The obvious reason for the increase in the probability of losing an incoming request is the increase in the variance of the value of such a characteristic parameter as the desired amount of system resources in incoming requests. It was also found that the geometric distribution-based scheme for managing the allocation of system resources shows a tendency to satisfy incoming requests with less value of the desired amount of system resources and is generally focused on supporting already active sessions of infocommunication interaction.

Author Biographies

O. M. Danylchuk, Vasyl’ Stus Donetsk National University

Cand. Sc. (Pedagog.), Associate Professor, Associate Professor of the Chair of Applied Mathematics

V. V. Kovtun, Vinnytsia National Technical University

Dr. Sc. (Eng.), Associate Professor, Professor of the Chair of Computer Control Systems

O. D. Nykytenko, Vinnytsia National Technical University

Cand. Sc. (Eng.), Associate Professor, Associate Professor of the Chair of Computer Control Systems

Yu. Yu. Nestiuk, Vinnytsia National Technical University

Student of the Department of Intelligent Information Technology and Automation

V. V. Prysiazhniuk, Vinnytsia National Technical University

Senior Lecturer of the Chair of Metrology and Industrial Automation

References

M. H. Miraz, M. Ali, P. S. Excell, and R. Picking, “A review on Internet of Things (IoT), Internet of Everything (IoE) and Internet of Nano Things (IoNT),” in Internet Technologies and Applications (ITA), 2015, pp. 219-224. https://doi.org/10.1109/ITechA.2015.7317398 .

K. Kaur, “A Survey on Internet of Things – Architecture, Applications, and Future Trends,” in First International Conference on Secure Cyber Computing and Communication (ICSCCC), 2018, pp. 581-583. https://doi.org/10.1109/ICSCCC.2018.8703341 .

S. S. Sabry, N. A. Qarabash, and H. S. Obaid, “The Road to the Internet of Things: a Survey,” in Annual Information Technology, Electromechanical Engineering and Microelectronics Conference (IEMECON), 2019, pp. 290-296. https://doi.org/10.1109/IEMECONX.2019.8876989.

Y. Chen, and M. Long, “Development of Industrial Chain of Internet of Things Based on 5G Communication Technique,” in International Conference on Machine Learning and Big Data Analytics for IoT Security and Privacy (SPIOT), vol 1283, Springer, Cham., 2020. https://doi.org/10.1007/978-3-030-62746-1_100 .

K. Tange, M. De Donno, X. Fafoutis, and N. Dragoni, “A Systematic Survey of Industrial Internet of Things Security: Requirements and Fog Computing Opportunities,” in IEEE Communications Surveys & Tutorials, vol. 22, no. 4, pp. 2489-2520, 2020. https://doi.org/10.1109/COMST.2020.3011208 .

Y. Ren, R. Xie, F. R. Yu, T. Huang, and Y. Liu, “Potential Identity Resolution Systems for the Industrial Internet of Things: A Survey,” in IEEE Communications Surveys & Tutorials, vol. 23, no. 1, pp. 391-430, Firstquarter 2021. https://doi.org/10.1109/COMST.2020.3045136 .

M. Serro, S. Hack, M. Henze, M. Schuba, and K. Wehrle, “Challenges and Opportunities in Securing the Industrial Internet of Things,” IEEE Transactions on Industrial Informatics, vol. 17, no. 5, pp. 2985-2996, May, 2021. https://doi.org/10.1109/TII.2020.3023507 .

H. Xu, W. Yu, D. Griffith, and N. Golmie, “A Survey on Industrial Internet of Things: A Cyber-Physical Systems Perspective,” IEEE Access, vol. 6, pp. 78238-78259, 2018. https://doi.org/10.1109/ACCESS.2018.2884906 .

P. Radanliev, D. De Roure, S. Cannady, R. M. Montalv, R. Nicolescu, and M. Huth, “Economic impact of IoT cyber risk – Analysing past and present to predict the future developments in IoT risk analysis and IoT cyber insurance,” in Living in the Internet of Things: Cybersecurity of the IoT, 2018, pp. 1-9. https://doi.org/10.1049/cp.2018.0003 .

A. Hidayati, M. Reza, N. M. Adriansyah, and M. I. Nashiruddin, “Techno-Economic Analysis of Narrowband IoT (NB-IoT) Deployment for Smart Metering,” in Asia Pacific Conference on Research in Industrial and Systems Engineering (APCoRISE), 2019, pp. 1-6. https://doi.org/10.1109/APCoRISE46197.2019.9318920 .

G. Bedi, G. K. Venayagamoorthy, R. Singh, R. R. Brooks, and K. Wang, “Review of Internet of Things (IoT) in Electric Power and Energy Systems,” Internet of Things Journal, vol. 5, no. 2, pp. 847-870, April, 2018. https://doi.org/10.1109/JIOT.2018.2802704 .

T. Heinis, J. Hilario, and M. Meboldt, “Empirical study on innovation motivators and inhibitors of Internet of Things applications for industrial manufacturing enterprises,” J. Innov. Entrep. vol. 7, 10, 2018. https://doi.org/10.1186/s13731-018-0090-7.

M. Gundall et al. “5G as Enabler for Industrie 4.0 Use Cases: Challenges and Concepts,” in 23rd International Conference on Emerging Technologies and Factory Automation (ETFA), 2018, pp. 1401-1408. https://doi.org/10.1109/ETFA.2018.8502649.

C. Binder, D. Draxler, C. Neureiter, and G. Lastro, “Using a model-based engineering approach for developing Industrial Internet of Things applications,” in Conference on Industrial Cyberphysical Systems (ICPS), 2020. pp. 35-40. https://doi.org/10.1109/ICPS48405.2020.9274701 .

A. Giehl, and S. Plaga, “Implementing a performant security control for Industrial Ethernet,” in 2018 International Conference on Signal Processing and Information Security (ICSPIS), 2018, pp. 1-4. https://doi.org/10.1109/CSPIS.2018.8642758 .

S. Wijethilaka, and M. Liyanage, “Realizing Internet of Things with Network Slicing: Opportunities and Challenges,” in 18th Annual Consumer Communications & Networking Conference (CCNC), 2021, pp. 1-6. https://doi.org/10.1109/CCNC49032.2021.9369637 .

S. M. A. Oteafy, and H. S. Hassanein, “Leveraging Tactile Internet Cognizance and Operation via IoT and Edge Technologies,” Proceedings of the IEEE, vol. 107, no. 2, pp. 364-375, Feb. 2019. https://doi.org/10.1109/JPROC.2018.2873577 .

O. V. Bisikalo, V. V. Kovtun, and V. V. Sholota, “The information system for Critical Use Access Process Dependability Modeling,” in 9th International Conference on Advanced Computer Information Technologies (ACIT), Ceske Budejovice, Czech Republic, 2019, pp. 5-8. https://doi.org/10.1109/ACITT.2019.8780013 .

O. V. Bisikalo, V. V. Kovtun, O. V. Kovtun, and O. M. Danylchuk, “Mathematical modeling of the availability of the information system for critical use to optimize control of its communication capabilities,” International Journal of Sensors, Wireless Communications and Control, vol. 10, Oct. 2020. https://doi.org/10.2174/2210327910999201009163958 .

O. V. Bisikalo, V. V. Kovtun, and O. V. Kovtun, “Modeling of the Estimation of the Time to Failure of the information system for Critical Use,” in 10th International Conference on Advanced Computer Information Technologies (ACIT), Deggendorf, Germany, 2020; pp. 140-143. https://doi.org/10.1109/ACIT49673.2020.9208883 .

O. V. Bisikalo, D. S. Chernenko, O. M. Danylchuk, V. V. Kovtun, and V. B Romanenko. “Information technology for TTF optimization of an information system for critical use that operates in aggressive cyber-physical space,” in International Scientific-Practical Conference Problems of Infocommunications, Science and Technology (PIC S&T), Kharkiv, Ukraine, 2020; pp. 323-329. https://doi.org/10.1109/PICST51311.2020.9467997 .

O. V. Bisikalo, V. V. Kovtun, O. V. Kovtun, V. B. Romanenko, “Research of safety and survivability models of the information system for critical use,” in 11th International Conference on Dependable Systems, Services and Technologies (DESSERT), Kyiv, Ukraine, 2020, pp. 7-12. https://doi.org/10.1109/DESSERT50317.2020.9125061 .

O. Bisikalo, O. Kovtun, V. Kovtun, and V. Vysotska, “Research of pareto-optimal schemes of control of availability of the information system for critical use,” CEUR Workshop Proceedings, CEUR-WS, vol. 2623, pp. 174-193, 2020.

A. A. Patil, and V. S. Badgujar, “A Comprehensive Survey on Theoretic Perspective Providing Future Directions on IoT,” in International Conference on Smart City and Emerging Technology (ICSCET), 2018, pp. 1-7. https://doi.org/10.1109/ICSCET.2018.8537285 .

M. Al-Ma’aitah, A. Saad, and A. Alwadain, “Modeling of the Schemes for Organizing a Session of Person-System Interactions in the Information System for Critical Use Which Operates in a Wireless Communication Environment,” in Symmetry, 13, 2021, 391. https://doi.org/10.3390/sym13030391 .

J. K. Jain, and D. Chauhan, “Analytical study on Mobile Ad hoc Networks for IPV6,” in 4th International Conference on Internet of Things: Smart Innovation and Usages (IoT-SIU), 2019, pp. 1-6. https://doi.org/10.1109/IoT-SIU.2019.8777486 .

S. Savazzi et al. “A cloud-IoT model for reconfigurable radio sensing: The Radio. Sense platform,” in 4th World Forum on Internet of Things (WF-IoT), 2018, pp. 179-185. https://doi.org/10.1109/WF-IoT.2018.8355098 .

N. Ferry, and P. H. Nguyen, “Towards Model-Based Continuous Deployment of Secure IoT Systems,” in 22nd International Conference on Model Driven Engineering Languages and Systems Companion (MODELS-C), 2019, pp. 613-618. https://doi.org/10.1109/MODELS-C.2019.00093 .

M. T. Rossi, M. De Sanctis, L. Iovino, and A. Rutle, “A Multilevel Modelling Approach for Tourism Flows Detection,” in 22nd International Conference on Model Driven Engineering Languages and Systems Companion (MODELS-C), 2019, pp. 103-112. https://doi.org/10.1109/MODELS-C.2019.00020 .

M. Aazam, and K. A. Harras, “Mapping QoE with Resource Estimation in IoT,” in 5th World Forum on Internet of Things (WF-IoT), 2019, pp. 464-467. https://doi.org/10.1109/WF-IoT.2019.8767254 .

A. Moawad, T. Hartmann, F. Fouquet, G. Nain, J. Klein, and Y. Le Traon, “Beyond discrete modeling: A continuous and efficient model for IoT,” in 18th International Conference on Model Driven Engineering Languages and Systems (MODELS), 2015, pp. 90-99. https://doi.org/10.1109/MODELS.2015.7338239 .

X. Chen, S. Sarkar, and M. H. Lotfi, “The Interplay of Competition and Cooperation Among Service Providers, part I,” IEEE Transactions on Network Science and Engineering, vol. 7, no. 4, pp. 2799-2814, Oct.-Dec. 2020. https://doi.org/10.1109/TNSE.2020.2995579 .

X. Chen, S. Sarkar, and M. H. Lotfi, “The Interplay of Competition and Cooperation Among Service Providers (Part II),” IEEE Transactions on Network Science and Engineering, vol. 7, no. 4, pp. 2815-2829, Oct.-Dec. 2020. https://doi.org/10.1109/TNSE.2020.3001946 .

A. K. Singh, and P. Kumar, “Advancement in Quality of Services in Wireless Sensor Networks,” in 3rd International Conference On Internet of Things: Smart Innovation and Usages (IoT-SIU), 2018, pp. 1-5. https://doi.org/10.1109/IoT-SIU.2018.8519842 .

Z. Zhang, “A Bayesian Network Incremental Algorithm for Public Safety Data Analysis,” in 5th International Conference on Mechanical, Control and Computer Engineering (ICMCCE), 2020, pp. 1870-1873. https://doi.org/10.1109/ICMCCE51767.2020.00410

A. Bushnag, “Investigating the Use of Pipelined LU Decomposition to Solve Systems of Linear Equations,” in International Conference on Computing and Information Technology (ICCIT-1441), 2020, pp. 1-5. https://doi.org/10.1109/ICCIT-144147971.2020.9213785 .

Downloads

Abstract views: 284

Published

2022-03-31

How to Cite

[1]
O. M. Danylchuk, V. V. . Kovtun, O. D. Nykytenko, Y. Y. Nestiuk, and V. V. Prysiazhniuk, “Determination of Parametric Space of Indicators for Evaluation of Availability of Infocommunications Process in Wireless Centralized Network Cluster”, Вісник ВПІ, no. 1, pp. 50–64, Mar. 2022.

Issue

Section

Information technologies and computer sciences

Metrics

Downloads

Download data is not yet available.