AN OPTIMIZED MODEL FOR CPU LOAD EVALUATION IN THE EXECUTION OF CODE STRUCTURES AND SCRIPT-BASED ALGORITHMS

Authors

DOI:

https://doi.org/10.68302/std2026.vol3.137

Keywords:

Benchmark CPU Algorithm, CPU load, WEB applications, JavaScript, Code Algorithms, DOM

Abstract

The introduction of models for studying the impact of script-based algorithms in web applications on overall CPU load should occupy an important place in the modern communication environment. However, there is a limited availability of software tools in this field. By exploring this subject, a team of researchers in the area of web applications developed a model with key characteristics representing scalar values of indicators that describe CPU load. This developed model for evaluating scalar time-based metrics has undergone evolution and optimization, expressed in increased accuracy of metrics, improved process stability, enhanced precision of results, and, not least, greater efficiency in user perception. This paper presents an optimized model for evaluating CPU load during the execution of code structures and script algorithms.

Supporting Agencies

In this section of the present study, the authors would like to express their sincere gratitude to all colleagues from the department for their continuous support, constructive discussions, and valuable technical feedback throughout the development and optimization of the proposed web-based benchmarking model. Their expertise and recommendations were essential for refining the methodological approach and improving the overall reliability of the experimental framework. We also extend our deep appreciation to our families for their constant encouragement, understanding, and patience, which provided strong motivation during the research and development process. This publication is funded by the fund “Support for Publishing Publications in Journals with Impact Factor (IF) and Impact Rank (SJR)” of Konstantin Preslavsky University of Shumen, Republic of Bulgaria.

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References

[1] Ö. Canay and Ü. Kocabıçak, “Augmented web usage mining and user experience optimization with CAWAL’s enriched analytics data,” International Journal of Human–Computer Interaction, vol. 41, no. 11, pp. 7152–7171, 2025, doi: https://doi.org/10.1080/10447318.2025.2495839.

[2] H. S. Xavier, “The web unpacked: a quantitative analysis of global web usage,” in Proc. 20th Int. Conf. Web Information Systems and Technologies (WEBIST), 2024, pp. 183–190, doi: https://doi.org/10.5220/0012905900003825.

[3] V. T. Atanasov, “An approach to evaluating code algorithms in web applications,” Annual of Konstantin Preslavsky University of Shumen, vol. XV E, pp. 25–31, 2025, doi:https://doi.org/10.46687/YT25VTA.

[4] “Comparison of the usage statistics of JavaScript for websites,” W3Techs, 2026. [Online]. Available: https://w3techs.com/technologies/comparison/cp-javascript. [Accessed: Apr. 6, 2026].

[5] “Most used programming languages among developers worldwide as of 2025,” Statista, 2025. [Online]. Available: https://www.statista.com/statistics/793628/worldwide-developer-survey-most-used-languages/. [Accessed: Apr. 6, 2026].

[6] “Most popular technologies,” Stack Exchange Inc., 2025. [Online]. Available: https://survey.stackoverflow.co/2024/technology. [Accessed: Apr. 6, 2026].

[7] Web Hypertext Application Technology Working Group, “DOM Living Standard,” 2026. [Online]. Available: https://dom.spec.whatwg.org/. [Accessed: Apr. 6, 2026].

[8] Mozilla Corporation, “CSS Object Model (CSSOM),” 2026. [Online]. Available: https://developer.mozilla.org/en-US/docs/Web/API/CSS_Object_Model. [Accessed: Apr. 6, 2026].

[9] Mozilla Corporation, “How browsers work,” 2026. [Online]. Available: https://developer.mozilla.org/en-US/docs/Web/Performance/Guides/How_browsers_work. [Accessed: Apr. 6, 2026].

[10] Ts. Tsankov, L. Staneva, I. Vardeva, and D. Iliev, “Generalized net model of a communication network using the Port Knocking method,” in Proc. Scientific Conf. MATTEH 2022, vol. 2, Shumen, Bulgaria, 2022, pp. 29–34.

[11] Ts. Tsankov, L. Staneva, I. Vardeva, and D. Iliev, “Application of a generalized net model in the communication of two independent traffic,” in Proc. 15th Int. Scientific Conf. Environment. Technology. Resources, vol. II, Rezekne, Latvia, 2024, pp. 293–296.

[12] V. Stoyanova, “Research of the characteristics of a steganography algorithm in images when using different alphabet,” in Proc. 15th Int. Scientific and Practical Conf., vol. IV, 2024, p. 259.

[13] V. T. Stoyanova, “Steganography system using more LSBs,” ENTRENOVA – Enterprise Research Innovation, vol. 4, no. 1, pp. 168–174, 2018.

[14] K. Kalchev and Ts. Tsankov, “Use of the decision tree method in analysis of student data from surveys,” Annual of Konstantin Preslavsky University of Shumen, vol. X E, pp. 72–75, 2020.

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Published

17.09.2026

Issue

Vol. 3 (2026): Proceedings of the International Conference on Secure Systems Design and Technology Development.

Section

INFORMATION TECHNOLOGY

License

Copyright (c) 2026 Valentin Atanasov, Daniel Denev

Creative Commons License

This work is licensed under a Creative Commons Attribution 4.0 International License.

How to Cite

[1]
V. Atanasov and D. Denev, “AN OPTIMIZED MODEL FOR CPU LOAD EVALUATION IN THE EXECUTION OF CODE STRUCTURES AND SCRIPT-BASED ALGORITHMS”, SysTechDev, vol. 3, pp. 27–32, Sep. 2026, doi: 10.68302/std2026.vol3.137.