Analysis And Implementation of Simple Queue and Queue Tree Methods For Optimizing Bandwitdh Management
DOI:
https://doi.org/10.37385/jaets.v4i1.1315Keywords:
Simple Queue, Queue tree, Mikrotik, Bandwidth management, QOSAbstract
This study analyzes the Simple Queue method with Queue tree using a Mikrotik Router to perform Bandwidth management. Both of these methods will be tested using the parameters of Quality of Services ( QOS ), namely throughput, delay, jitter and packet loss. The results of the analysis of the Quality of Services will be compared with weighting based on the TIPHON standard, then the results of the analysis will be tested using the wireshark application . The results of the analysis of these two methods, the Simple Queue method is more suitable because it gets a higher value based on the TIPHON standard. Therefore it is recommended to use Bandwidth management using the Simple Queue method
Downloads
References
Geraci, G., Crussell, J., Swiler, L. P., & Debusschere, B. J. (2021). Exploration of multifidelity UQ sampling strategies for computer network applications. International Journal for Uncertainty Quantification, 11(1).
Gunawan, B. A. (2015). Implementasi Queue Tree untuk Optimalisasi Manajemen Bandwidth Pada Seven Net Semarang. 1-5.
Hamzah, M. L., Rizal, F., & Simatupang, W. (2021). Development of Augmented Reality Application for Learning Computer Network Device. International Journal of Interactive Mobile Technologies, 15(12).
Ilham, D. N. (2018). Implementasi Metode Simple Queue Dan Queue Tree Untuk Optimasi Manajemen Bandwith Jaringan Komputer Di Politeknik Aceh Selatan. METHOMIKA: Jurnal Manajemen Informatika & Komputerisasi Akuntansi, 2(1), 43-50.
Jha, V., & Singh, R. K. (2022). Comprehensive performance analysis of dynamic bandwidth allocation schemes for XG-PON system. Optical Switching and Networking, 100711.
Misbahuddin, M. (2022). Prevention of The Use of VPN with Firewall Method Layer 7 Microtic Protocol for Negative Content Filtering and Implementation in RT/RW Net Network (Klatakan Village). Procedia of Engineering and Life Science, 2(2).
Naeem, M., & Ozuem, W. (2021). The role of social media in internet banking transition during COVID-19 pandemic: Using multiple methods and sources in qualitative research. Journal of Retailing and Consumer Services, 60, 102483.
Neven, D., Brabandere, B. D., Proesmans, M., & Gool, L. V. (2019). Instance segmentation by jointly optimizing spatial embeddings and clustering bandwidth. In Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (pp. 8837-8845).
Perifanou, M., Tzafilkou, K., & Economides, A. A. (2021). The Role of Instagram, Facebook, and YouTube Frequency of Use in University Students’ Digital Skills Components. Education Sciences, 11(12), 766.
Prayoga, S. (2021). Analisa Manajemen Bandwith Simple Queue Dan Queue Tree. Jurnal Mahasiswa Aplikasi Teknologi Komputer dan Informasi (JMApTeKsi), 3(3), 95-101.
Ramadhan, A. L. I. A. A., Indrajit, R. E., Rokhman, N., Subanar, E. W., Kumar, P. S., Rao, B. T., & Ola, M. (2016). Analysis of effectiveness of using simple queue with per connection queue (PCQ) in the bandwidth management (A case study at the academy of information management and computer mataram (AMIKOM) mataram). Journal of Theoretical and Applied Information Technology, 83(3).
Sadino, S. K., Saedudin, R. R., & Hediyanto, U. Y. K. S. (2021). Analisis Simulasi Manajemen Bandwidth Menggunakan Metode Simple Queue Untuk Meningkatkan Kualitas Jaringan. eProceedings of Engineering, 8(5).
Siahaan, M. L., Panjaitan, M. S., & Siahaan, A. P. U. (2016). MikroTik bandwidth management to gain the users prosperity prevalent. Int. J. Eng. Trends Technol, 42(5), 218-222.
Sohal, P., Tabish, R., Drepper, U., & Mancuso, R. (2022). Profile-driven memory bandwidth management for accelerators and CPUs in QoS-enabled platforms. Real-Time Systems, 1-40.
Strinati, E. C., & Barbarossa, S. (2021). 6G networks: Beyond Shannon towards semantic and goal-oriented communications. Computer Networks, 190, 107930.
Susanto, E. S., & Mulyanto, Y. (2022). Performance Comparison Analysis Michmon and Usermanagers on Microtic. Asian Journal of Research in Computer Science, 57-66.
Yang, H., Li, X., Qiang, W., Zhao, Y., Zhang, W., & Tang, C. (2021). A network traffic forecasting method based on SA optimized ARIMA–BP neural network. Computer Networks, 193, 108102.