Methods of Spline Functions in Solving Problems of Telecommunication and Information Technologies
The solution to problems of telecommunications and information technologies using spline approximation and spline extrapolation based on real and complex spline functions is considered. The use of spline approximation for solving problems of signal recovery and self-similar traffic, processes of fun...
| Main Authors: | , , |
|---|---|
| Format: | Article |
| Language: | English |
| Published: |
Anhalt University of Applied Sciences
2023-11-01
|
| Series: | Proceedings of the International Conference on Applied Innovations in IT |
| Subjects: | |
| Online Access: | https://icaiit.org/paper.php?paper=11th_ICAIIT_2/1_2 |
| _version_ | 1827383724676743168 |
|---|---|
| author | Irina Strelkovskaya Irina Solovskaya Juliya Strelkovska |
| author_facet | Irina Strelkovskaya Irina Solovskaya Juliya Strelkovska |
| author_sort | Irina Strelkovskaya |
| collection | DOAJ |
| description | The solution to problems of telecommunications and information technologies using spline approximation and spline extrapolation based on real and complex spline functions is considered. The use of spline approximation for solving problems of signal recovery and self-similar traffic, processes of functioning of telecommunication nodes and networks is shown. It is proposed to use spline extrapolation based on various types of real spline functions to solve the problems of predicting the characteristics of self-similar traffic and maintaining QoS characteristics during its maintenance. It has been established that to predict the real-time telemetry traffic of IoT devices, it is advisable to use spline extrapolation based on the cubic Hermite spike, which ensures the required forecasting accuracy and prevents network overloads, especially under conditions of network load limit. To solve the problem of user positioning in the radio access area, the use of complex plane spline functions is considered. The use of the methods of real and complex spline functions allows for obtaining the results of improving the quality of service in a telecommunications network and ensuring the scalability of the obtained solutions. To identify and predict DDoS cyber-attacks, a spline extrapolation method is used. The use of parametric splines in the problems of information technology, namely, the construction of curves and surfaces in 3D modelling, is proposed. |
| first_indexed | 2024-03-08T14:45:26Z |
| format | Article |
| id | doaj.art-d50854534324416d9df0fd8471fc3b96 |
| institution | Directory Open Access Journal |
| issn | 2199-8876 |
| language | English |
| last_indexed | 2024-03-08T14:45:26Z |
| publishDate | 2023-11-01 |
| publisher | Anhalt University of Applied Sciences |
| record_format | Article |
| series | Proceedings of the International Conference on Applied Innovations in IT |
| spelling | doaj.art-d50854534324416d9df0fd8471fc3b962024-01-11T13:18:43ZengAnhalt University of Applied SciencesProceedings of the International Conference on Applied Innovations in IT2199-88762023-11-011121118http://dx.doi.org/10.25673/112989Methods of Spline Functions in Solving Problems of Telecommunication and Information TechnologiesIrina Strelkovskaya0https://orcid.org/0000-0002-1813-0554Irina Solovskaya1https://orcid.org/0000-0002-9904-5692Juliya Strelkovska2https://orcid.org/0000-0002-9835-0222Department of Information Technology, International Humanitarian University, Fontanskaya road Str. 33, Odesa, UkraineDepartment of Computer Science, International Humanitarian University, Fontanskaya road Str. 33, Odesa, UkraineWorthing College, 1 Sanditon Way, Worthing, United KingdomThe solution to problems of telecommunications and information technologies using spline approximation and spline extrapolation based on real and complex spline functions is considered. The use of spline approximation for solving problems of signal recovery and self-similar traffic, processes of functioning of telecommunication nodes and networks is shown. It is proposed to use spline extrapolation based on various types of real spline functions to solve the problems of predicting the characteristics of self-similar traffic and maintaining QoS characteristics during its maintenance. It has been established that to predict the real-time telemetry traffic of IoT devices, it is advisable to use spline extrapolation based on the cubic Hermite spike, which ensures the required forecasting accuracy and prevents network overloads, especially under conditions of network load limit. To solve the problem of user positioning in the radio access area, the use of complex plane spline functions is considered. The use of the methods of real and complex spline functions allows for obtaining the results of improving the quality of service in a telecommunications network and ensuring the scalability of the obtained solutions. To identify and predict DDoS cyber-attacks, a spline extrapolation method is used. The use of parametric splines in the problems of information technology, namely, the construction of curves and surfaces in 3D modelling, is proposed.https://icaiit.org/paper.php?paper=11th_ICAIIT_2/1_2spline approximationspline extrapolationreal spline functionscomplex spline functionscubic spline functionquadratic spline functionhermite cubic splinesignal recoveryforecastingself-similar trafficiot device telemetry trafficqos characteristicslocal user locationddos cyber-attacksparametric splines3d modelling |
| spellingShingle | Irina Strelkovskaya Irina Solovskaya Juliya Strelkovska Methods of Spline Functions in Solving Problems of Telecommunication and Information Technologies Proceedings of the International Conference on Applied Innovations in IT spline approximation spline extrapolation real spline functions complex spline functions cubic spline function quadratic spline function hermite cubic spline signal recovery forecasting self-similar traffic iot device telemetry traffic qos characteristics local user location ddos cyber-attacks parametric splines 3d modelling |
| title | Methods of Spline Functions in Solving Problems of Telecommunication and Information Technologies |
| title_full | Methods of Spline Functions in Solving Problems of Telecommunication and Information Technologies |
| title_fullStr | Methods of Spline Functions in Solving Problems of Telecommunication and Information Technologies |
| title_full_unstemmed | Methods of Spline Functions in Solving Problems of Telecommunication and Information Technologies |
| title_short | Methods of Spline Functions in Solving Problems of Telecommunication and Information Technologies |
| title_sort | methods of spline functions in solving problems of telecommunication and information technologies |
| topic | spline approximation spline extrapolation real spline functions complex spline functions cubic spline function quadratic spline function hermite cubic spline signal recovery forecasting self-similar traffic iot device telemetry traffic qos characteristics local user location ddos cyber-attacks parametric splines 3d modelling |
| url | https://icaiit.org/paper.php?paper=11th_ICAIIT_2/1_2 |
| work_keys_str_mv | AT irinastrelkovskaya methodsofsplinefunctionsinsolvingproblemsoftelecommunicationandinformationtechnologies AT irinasolovskaya methodsofsplinefunctionsinsolvingproblemsoftelecommunicationandinformationtechnologies AT juliyastrelkovska methodsofsplinefunctionsinsolvingproblemsoftelecommunicationandinformationtechnologies |