Оperational readiness of a typical fragment of the departmental digital telecommunication network

 

Feshchenko Andreу

National University of Civil Defenсe of Ukraine

http://orcid.org/0000-0002-4869-6428

 

Zakora Аlexander

National University of Civil Defenсe of Ukraine

http://orcid.org/0000-0001-9042-6838

 

Sobyna Vitaliy

National University of Civil Defenсe of Ukraine

http://orcid.org/0000-0001-6908-8037

 

DOI: https://doi.org/10.52363/2524-0226-2024-39-17

 

Keywords: digital telecommunication network, reliability, operational availability ratio, probability of failure-free operation

 

Аnnotation

 

A probabilistic model of a typical fragment of a departmental digital telecommunications network, which takes into account the influence of the redundancy structure and operational parameters of failure and maintainability of its nodes and data transmission channels on its operational readiness ratio, was studied. A probabilistic model of the coefficient of operational readiness of a typical fragment of a digital telecommunication network after failures in an emergency situation was obtained and analyzed, and the relationship between the coefficient of operational readiness and operational parameters was established. It is indicated that the required coefficient of operational availability of a typical fragment of a digital telecommunications network is achieved not only by increasing the reliability of nodes, but also by choosing a structure of redundancy and a mode of maintenance of data transmission channels, which are not yet defined, that is why research is carried out on the dependence of the coefficient of operational readiness of a typical fragment of a departmental telecommunications network on normalized operational parameters for structures without redundancy and with redundancy of data transmission channels by the method of statistical mathematical modeling. It has been established that in order to achieve the required operational readiness ratio while reducing the requirements for the reliability of nodes of a typical fragment of a departmental digital telecommunications network, it is sufficient to apply structurally separate at least two-fold redundancy of data transmission channels, in the presence of triple redundancy of data transmission channels, the efficiency also does not increase significantly. Research data are useful for predicting the operational readiness ratio during operation and planning the required maintenance regime for nodes and data transmission channels of a typical fragment of the de-partmental telecommunications network, depending on the ratio of the period of preventive work to the recovery time for failure during operation.

 

References

 

  1. Qadir, J., Hasan, O. (2015). Applying formal methods to networking: Theory, techniques, and applications. Communications Surveys & Tutorials, 17(1), 256–291. doi: 10.1109/COMST.2014.2345792
  2. Bistouni, F., Jahanshahi, M. (2015). Pars network: a multistage interconnection network with fault-tolerance capability. Journal of Parallel and Distributed Computing, 75, 168–183. doi: 10.1016/j.jpdc.2014.08.005
  3. Wäfler, J., Heegaard, P. E. (2013). A combined structural and dynamic modelling approach for dependability analysis in smart grid, in: ACM Symposium on Applied Computing, ACM, 660–665. doi: 10.1145/2480362.2480489
  4. Bistouni, F., Jahanshahi, M. (2014). Analyzing the reliability of shuffleexchange networks using reliability block diagrams, Reliability Engineering & System Safety, 132, 97–106. doi: 10.1016/j.ress.2014.07.012
  5. Marcus, A., de Q., V., Lima, Paulo, R., M., Bruno M., Silva, Almir, P., Guimarães. (2014). Performability evaluation of emergency call center, Performance Evaluation, 80, 27–42. doi: 10.1016/j.peva.2014.07.023
  6. Ahmed, W., Hasan, O., Pervez U., Qadir, J. (2016). Reliability Modeling and Analysis of Communication Networks, Journal of Network and Computer Applications, 78, 191–215. doi: 10.1016/j.jnca.2016.11.008
  7. Todinov, M. (2013). Flow Networks. Analysis and Optimization of Repairable Flow Networks, Networks with Disturbed Flows, Static Flow Networks and Reliability Networks, Book, Oxford Brookes University, Oxford, UK, 320. Available at: https://www.
    amazon.com/Flow-Networks-Optimization-Repairable-Reliability-ebook/dp/B00BBTIXUI
  8. Sedaghatbaf, A., Abdollahi Azgomi, M. (2018) A method for dependability evaluation of software architectures. Computing, 100, 119–150. doi: 10.1007/s00607-017-0568-3
  9. Maza, S. (2014). Stochastic activity networks for performance evaluation of fault-tolerant systems, Proceedings of the Institution of Mechanical Engineers, Part O: Journal of Risk and Reliability, 228(3), 243–253. doi: 10.1177/1748006X14525772
  10. Feshchenko, A., Zakora, O., Borysova, L., (2020). Rozrobka imovirnisnoyi modeli elementarnoho frahmenta vidomchoyi informatsiyno-telekomunikatsiynoyi merezhi. Problems of Emergency Situations, 1(31), 34–43. Available at: http://pes.nuczu.edu.ua/images/arhiv/31/3.pdf
  11. Feshchenko, A., Zakora, O., Borysova, L. (2021). Rozrobka imovirnisnoyi modeli typovoho frahmenta vidomchoyi tsyfrovoyi telekomunikatsiynoyi merezhi DSNS. Problems of Emergency Situations, 1(33), 222–233. doi: 10.52363/2524-0226-2021-33-17
  12. Feshchenko, A., Zakora, O., Borysova, L. (2022). Udoskonalennia imovirnisnoi modeli typovoho frahmenta vidomchoi tsyfrovoi telekomunikatsiinoi merezhi DSNS. DSNS. Problems of Emergency Situations, 1(35), 120–132. doi: 10.52363/2524-0226-2022-35-9
  13. Feshchenko, A., Zakora, O., Morshch Ye. V. Operatyvna hotovnist elementarnoho frahmentu vidomchoi tsyfrovoi telekomunikatsiinoi merezhi. DSNS. Problems of Emergency Situations, 1(37), 44–56. doi: 10.52363/2524-0226-2023-37-4