Bandwidth Prediction in Zoom Meetings: A Mathematical Model Based on Feature Configuration Analysis

Authors

  • Andi Cahyono Informatika Medis, Universitas Sains dan Teknologi Indonesia, Indonesia
  • Muhammad Taufiq Nuruzzaman Informatika, Universitas Islam Negeri Sunan Kalijaga, Indonesia
  • Bambang Sugiantoro Informatika, Universitas Islam Negeri Sunan Kalijaga, Indonesia
  • Sumarsono Informatika, Universitas Islam Negeri Sunan Kalijaga, Indonesia

DOI:

https://doi.org/10.52436/1.jutif.2026.7.3.4138

Keywords:

Bandwidth, Formula, Video Conference, Wireshark, Zoom Meeting

Abstract

Video conferencing applications such as Zoom Meeting require sufficient and stable bandwidth to maintain communication quality. However, bandwidth needs often vary depending on user configurations, including video resolution, audio bitrate, and content-sharing activity. This study aims to develop a mathematical formula capable of accurately estimating bandwidth requirements for Zoom Meeting sessions. The methodology combines quantitative experiments and numerical simulations by collecting throughput data using Wireshark, analysing feature-based parameter variations, and validating the proposed formula through MATLAB simulation. Data were obtained from multiple Zoom sessions executed under controlled conditions with different feature combinations and replicated twenty times to ensure accuracy. The validation results show that the formula consistently provides realistic and stable estimations when compared with actual throughput measurements and simulation outcomes. The proposed model offers a simple yet effective tool for predicting bandwidth requirements, supporting efficient network capacity planning, and enhancing the overall performance of video conferencing environments.

Downloads

Download data is not yet available.

References

C. Diaz-Nunez, G. Sanchez-Cochachin, Y. Ricra-Chauca, and L. Andrade-Arenas, “Impact of Mobile Applications for a Lima University in Pandemic,” Int. J. Adv. Comput. Sci. Appl., vol. 12, no. 2, 2021, doi: 10.14569/IJACSA.2021.0120294.

A. D. Rio-Chillcce, L. Jara-Monge, and L. Andrade-Arenas, “Analysis of the Use of Videoconferencing in the Learning Process During the Pandemic at a University in Lima,” Int. J. Adv. Comput. Sci. Appl., vol. 12, no. 5, 2021, doi: 10.14569/IJACSA.2021.01205102.

F. Marisa, S. Sakinah, Z. Izzah, A. L, R. David, and A. Aris, “Evaluation of Student Core Drives on e-Learning during the Covid-19 with Octalysis Gamification Framework,” Int. J. Adv. Comput. Sci. Appl., vol. 11, no. 11, 2020, doi: 10.14569/IJACSA.2020.0111114.

J. Zhu, D. Jones, and S. Webster, “Testing Bandwidth Usage of Popular Video Conferencing Applications,” HFC Netw., 2020.

M. A. Camilleri and A. C. Camilleri, “Remote learning via video conferencing technologies: Implications for research and practice,” Technol. Soc., vol. 68, p. 101881, Feb. 2022, doi: 10.1016/j.techsoc.2022.101881.

A. A. Kamal, N. Mohd, L. Truna, M. Sabri, and S. N., “Transitioning to Online Learning during COVID-19 Pandemic: Case Study of a Pre-University Centre in Malaysia,” Int. J. Adv. Comput. Sci. Appl., vol. 11, no. 6, 2020, doi: 10.14569/IJACSA.2020.0110628.

R. E. Putri H. and T. A. Wulandari, “PEMANFAATAN APLIKASI ZOOM CLOUD MEETING SEBAGAI MEDIA E-LEARNING DALAM MENCAPAI PEMAHAMAN MAHASISWA DI TENGAH PANDEMI COVID-19,” J. Common, vol. 4, no. 2, pp. 171–190, Mar. 2021, doi: 10.34010/common.v4i2.4436.

W. A. Alqhtani, A. A. Taha, and M. S. Alsabaan, “An Adaptive Quality Switch-aware Framework for Optimal Bitrate Video Streaming Delivery,” Int. J. Adv. Comput. Sci. Appl. IJACSA, vol. 11, no. 8, 2020, doi: 10.14569/IJACSA.2020.0110871.

“IEEE Standard for Jitter and Phase Noise,” IEEE Std 2414-2020, pp. 1–42, Feb. 2021, doi: 10.1109/IEEESTD.2021.9364950.

S. A. Soomro, M. Mujtaba, N. Nizamani, E. Ali, and K. M., “Heterogeneous Buffer Size Impact on UDP Performance for Real-Time Video Streaming Application,” Int. J. Adv. Comput. Sci. Appl., vol. 9, no. 6, 2018, doi: 10.14569/IJACSA.2018.090638.

G. Huang, J. Liu, B. Zhang, and C. Li, “Quality-driven video streaming for ultra-dense OFDMA heterogeneous networks,” Comput. Netw., vol. 218, p. 109398, Dec. 2022, doi: 10.1016/j.comnet.2022.109398.

T. Gueham and F. Merazka, “Packet loss concealment method based on interpolation in packet voice coding,” Comput. Stand. Interfaces, vol. 85, p. 103709, Apr. 2023, doi: 10.1016/j.csi.2022.103709.

M. Haris, G. Shakhnarovich, and N. Ukita, “Recurrent Back-Projection Network for Video Super-Resolution,” 2019, pp. 3897–3906. Accessed: Mar. 20, 2023. [Online]. Available: https://openaccess.thecvf.com/content_CVPR_2019/html/Haris_Recurrent_Back-Projection_Network_for_Video_Super-Resolution_CVPR_2019_paper.html

F. Kaledibi, H. H. Kilinc, and C. O. Sakar, “Quality of Experience Prediction for VoIP Calls Using Audio MFCCs and Multilayer Perceptron,” in 2022 7th International Conference on Computer Science and Engineering (UBMK), Sep. 2022, pp. 300–304. doi: 10.1109/UBMK55850.2022.9919483.

K. MacMillan, T. Mangla, J. Saxon, and N. Feamster, “Measuring the performance and network utilization of popular video conferencing applications,” in Proceedings of the 21st ACM Internet Measurement Conference, in IMC ’21. New York, NY, USA: Association for Computing Machinery, Nov. 2021, pp. 229–244. doi: 10.1145/3487552.3487842.

W. Standaert, S. Muylle, and A. Basu, “Business meetings in a postpandemic world: When and how to meet virtually,” Bus. Horiz., vol. 65, no. 3, pp. 267–275, May 2022, doi: 10.1016/j.bushor.2021.02.047.

N. Nurmainna, R. Satra, and E. I. Alwi, “Analisis Kebutuhan Bandwidth Penggunaan Aplikasi Video Conference Pada Perkuliahan Daring,” Bul. Sist. Inf. Dan Teknol. Islam, vol. 2, no. 3, pp. 176–186, Aug. 2021, doi: 10.33096/busiti.v2i3.882.

R. N. Aziza, J. Adilman, K. Djunaidi, M. Y. D. Sudirman, and M. D. Yusra, “COMPARATIVE STUDY OF CLOUD COMPUTING NETWORK SERVICES BASED ON QoS ANALYSIS USING TIPHON STANDARD,” J. Tek. Inform. Jutif, vol. 4, no. 5, Art. no. 5, Oct. 2023, doi: 10.52436/1.jutif.2023.4.5.1411.

H. Kim, H. Lee, and H. Lim, “Performance of Packet Analysis between Observer and WireShark,” in 2020 22nd International Conference on Advanced Communication Technology (ICACT), Feb. 2020, pp. 268–271. doi: 10.23919/ICACT48636.2020.9061452.

A. Musa, A. Abubakar, U. A. Gimba, and R. A. Rasheed, “An Investigation into Peer-to-Peer Network Security Using Wireshark,” in 2019 15th International Conference on Electronics, Computer and Computation (ICECCO), Dec. 2019, pp. 1–6. doi: 10.1109/ICECCO48375.2019.9043236.

A. Siswanto, A. Syukur, E. A. Kadir, and Suratin, “Network Traffic Monitoring and Analysis Using Packet Sniffer,” in 2019 International Conference on Advanced Communication Technologies and Networking (CommNet), Apr. 2019, pp. 1–4. doi: 10.1109/COMMNET.2019.8742369.

Y. Sahraoui, A. Ghanam, S. Zaidi, S. Bitam, and A. Mellouk, “Performance evaluation of TCP and UDP based video streaming in vehicular ad-hoc networks,” in 2018 International Conference on Smart Communications in Network Technologies (SaCoNeT), Oct. 2018, pp. 67–72. doi: 10.1109/SaCoNeT.2018.8585447.

R. Shankar and P. Danajayan, “Quality of Service in bandwidth adapted hybrid UMTS/WLAN interworking network,” ℡KOMNIKA Telecommun. Comput. Electron. Control, vol. 17, no. 6, pp. 2803–2811, Dec. 2019, doi: 10.12928/telkomnika.v17i6.10262.

A. Arora, A. Rao, and M. Bhutani, “A Matlab Simulation Model for MAC Layer of Visible Light Communication,” in 2020 7th International Conference on Signal Processing and Integrated Networks (SPIN), Feb. 2020, pp. 941–945. doi: 10.1109/SPIN48934.2020.9071254.

F. K. Oduro-Gyimah, K. O. Boateng, P. B. Adu, and K. Quist-Aphetsi, “Prediction of Telecommunication Network Outage Time Using Multilayer Perceptron Modelling Approach,” in 2021 International Conference on Computing, Computational Modelling and Applications (ICCMA), Jul. 2021, pp. 104–108. doi: 10.1109/ICCMA53594.2021.00025.

A. I. Abdelaal, M. M. Ghoneima, and B. A. Abdullah, “Towards a Novel MATLAB Framework for VANETs Simulation,” in 2021 International Conference on Microelectronics (ICM), Dec. 2021, pp. 21–24. doi: 10.1109/ICM52667.2021.9664959.

M. Eisa, M. Younas, K. Basu, and I. Awan, “Modelling and Simulation of QoS-Aware Service Selection in Cloud Computing,” Simul. Model. Pract. Theory, vol. 103, p. 102108, Sep. 2020, doi: 10.1016/j.simpat.2020.102108.

C. Şolea, D. Toader, M. Vințan, M. Greconici, D. Vesa, and I. Tatai, “Framework for distribution network modelling and fault simulation using MATLAB,” in 2022 International Conference and Exposition on Electrical And Power Engineering (EPE), Oct. 2022, pp. 118–123. doi: 10.1109/EPE56121.2022.9959758.

J. Wu et al., “Research of Small World Network Models and Simulation Analysis,” in 2022 IEEE 5th Advanced Information Management, Communicates, Electronic and Automation Control Conference (IMCEC), Dec. 2022, pp. 858–862. doi: 10.1109/IMCEC55388.2022.10020032.

“Zoom system requirements: Windows, macOS, Linux,” Zoom Support. Accessed: Jun. 08, 2023. [Online]. Available: https://support.zoom.us/hc/en-us/articles/201362023-Zoom-system-requirements-Windows-macOS-Linux

Additional Files

Published

2026-06-15

How to Cite

[1]
A. Cahyono, M. T. Nuruzzaman, B. Sugiantoro, and S. Sumarsono, “Bandwidth Prediction in Zoom Meetings: A Mathematical Model Based on Feature Configuration Analysis”, J. Tek. Inform. (JUTIF), vol. 7, no. 3, pp. 2451–2464, Jun. 2026.