Implementation of Load Balancing Per Connection Classifier on Mikrotik for Internet Services at Private Vocational Schools
DOI:
https://doi.org/10.58905/saga.v1i3.169Keywords:
Internet, Internet Service Provider, Load Balance, Per Connection ClassifierAbstract
The Internet network is important because now it has entered the 4.0 era, where all community activities are primarily carried out with the help of the Internet. Therefore, the internet network can also connect. One example of using the Internet is currently needed in the school environment. Teachers and students must carry out learning transformations that are usually paper-based and are presently changing through the Internet. As is the case with all teachers and students in private vocational schools. From the results of observations that have been made, not all teachers and students get good internet service. Then, when checking on the server side, it turned out that the internet network management was not following the standards in the field, so the three ISPs (internet service providers) were not being utilized optimally. One solution emerges from presenting these problems: combining and dividing the burden evenly among the three ISPs. The process of distributing the ISP load evenly is called load balancing. In this study, the load balancing method used is the Per Connection Classifier (PCC) method, which can work optimally. This study's findings indicate that the inefficiencies in internet service provision within private vocational schools are due to suboptimal internet network management practices, leading to the need for more utilization of the available internet service providers (ISPs), and proposes the implementation of load balancing as a solution
References
P. Bradu et al., “Recent advances in green technology and Industrial Revolution 4.0 for a sustainable future,” Environ. Sci. Pollut. Res., 2022, doi: 10.1007/s11356-022-20024-4.
D. I. S. Saputra, I. P. D. Suarnatha, F. Mahardika, A. Wijanarko, and S. W. Handani, “IoT-Based Smart Air Conditioner as a Preventive in the Post-COVID-19 Era: A Review,” J. Robot. Control, vol. 4, no. 1, pp. 60–70, 2023, doi: https://doi.org/10.18196/jrc.v4i1.17090.
M. Ghiasi, Z. Wang, M. Mehrandezh, S. Jalilian, and N. Ghadimi, “Evolution of smart grids towards the Internet of energy: Concept and essential components for deep decarbonisation,” IET Smart Grid, vol. 6, no. 1, pp. 86–102, 2023, doi: 10.1049/stg2.12095.
D. Mustofa, D. Arifudin, A. Setyanto, D. I. S. Saputra, and A. Wirasto, “The Bellman-Ford Algorithm Search for the Best Routes to Tourist Attractions amid the COVID-19 Pandemic,” Webology, vol. 19, no. 2, pp. 985–996, 2022.
M. Kalogiannakis, “Training with ICT for ICT from the trainee’s perspective. A local ICT teacher training experience,” Educ. Inf. Technol., vol. 15, no. 1, pp. 3–17, 2010, doi: 10.1007/s10639-008-9079-3.
D. I. S. Saputra, Berlilana, and S. W. Handani, “Social Commerce as a Media to Create Brand Equity of Higher Education,” in 3rd International Conference on Information Technology, Information System and Electrical Engineering (ICITISEE), 2018, pp. 32–36. doi: 10.1109/ICITISEE.2018.8721024.
S. W. Handani, M. Suyanto, and A. F. Sofyan, “Penerapan Konsep Gamifikasi pada E-Learning untuk Pembelajaran Animasi 3 Dimensi [Application of Gamification Concepts in E-Learning for 3D Animation Course],” Telematika, vol. 9, no. 1, 2016.
R. Iriane, D. I. S. Saputra, D. Indarto, S. W. Handani, and K. Indartono, “Design of Instagram Comic Strips for Learning Media in Elementary School,” IJECA (International J. Educ. Curric. Appl., vol. 5, no. 3, p. 317, 2022, doi: 10.31764/ijeca.v5i3.11719.
R. Jordy, H. Marcos, J. W. Kusuma, D. Intan, and S. Saputra, “Mobile game design for elementary school mathematics educative games,” J. Soft Comput. Explor., vol. 4, no. 2, pp. 69–78, 2023, doi: https://doi.org/10.52465/joscex.v4i2.129.
D. I. S. Saputra and I. Setyawan, “Virtual YouTuber (VTuber) sebagai Konten Media Pembelajaran Online,” in Seminar Nasional Sistem Informasi dan Teknologi (SISFOTEK), 2021, vol. 5, no. 1, pp. 14–20.
D. Kanellopoulos and V. K. Sharma, “Dynamic Load Balancing Techniques in the IoT: A Review,” Symmetry, vol. 14, no. 12. 2022. doi: 10.3390/sym14122554.
S. P. Praveen, P. Sarala, T. N. S. K. M. Kumar, S. G. Manuri, V. S. Srinivas, and D. Swapna, “An Adaptive Load Balancing Technique for Multi SDN Controllers,” in 2022 International Conference on Augmented Intelligence and Sustainable Systems (ICAISS), 2022, pp. 1403–1409. doi: 10.1109/ICAISS55157.2022.10010881.
R. Devita, R. H. Zain, and A. Information, “Load Balance (PCC) with Recursive Gateway Method,” Int. J. Dyn. Eng. Sci., vol. 7, no. 1, 2022, doi: https://doi.org/10.22216/jod.v7i1.1494.
S. A. Pasaribu and M. T. Unggul, “Comparison Analysis of Load Balance Performance Per Connection Classifier ( Pcc ) And Equal Cost Multi-Path ( Ecmp ) Networks for Multiple Path Networks,” Int. J. Inf. Syst. Innov. Technol., vol. 1, no. 2, pp. 11–20, 2022.
A. Mustofa and D. Ramayanti, “Implementasi Load Balancing dan Failover to Device Mikrotik Router Menggunakan Metode NTH (Studi Kasus: PT.GO-JEK Indonesia),” J. Teknol. Inf. dan Ilmu Komput., vol. 7, no. 1, p. 139, 2020, doi: 10.25126/jtiik.2020701638.
E. R. Amalia, Nurheki, R. Saputra, C. Ramadhana, and E. H. Yossy, “Computer network design and implementation using load balancing technique with per connection classifier (PCC) method based on MikroTik router,” Procedia Comput. Sci., vol. 216, pp. 103–111, 2023, doi: https://doi.org/10.1016/j.procs.2022.12.116.
D. Mustofa, D. A. Mahendra, D. Intan, S. Saputra, and M. S. Amin, “Implementasi Point-to-Point Protocol Over Ethernet pada Jaringan RT/RW Net Menggunakan Mikrotik RB750 GR3,” J. IT CIDA, vol. 8, no. 2, pp. 124–139, 2022, doi: http://dx.doi.org/10.55635/jic.v8i2.169.
H. Xing, Z. Xiao, R. Qu, Z. Zhu, and B. Zhao, “An Efficient Federated Distillation Learning System for Multitask Time Series Classification,” IEEE Trans. Instrum. Meas., vol. 71, pp. 1–12, 2022, doi: 10.1109/TIM.2022.3201203.
D. A. Shafiq, N. Z. Jhanjhi, and A. Abdullah, “Load balancing techniques in cloud computing environment: A review,” J. King Saud Univ. - Comput. Inf. Sci., vol. 34, no. 7, pp. 3910–3933, 2022, doi: https://doi.org/10.1016/j.jksuci.2021.02.007.
S. M. Shahid, Y. T. Seyoum, S. H. Won, and S. Kwon, “Load Balancing for 5G Integrated Satellite-Terrestrial Networks,” IEEE Access, vol. 8, pp. 132144–132156, 2020, doi: 10.1109/ACCESS.2020.3010059.
S. Khoshnavaz and A. G. Rahbar, “Improving QoS and Fairness of Packet Scheduling in Wimax Networks,” Seybold Rep. J., vol. 17, no. 11, pp. 1516–1532, 2022, doi: 10.5281/zenodo.7374957.
X. Wu and D. C. O’Brien, “QoS-Driven Load Balancing in Hybrid LiFi and WiFi Networks,” IEEE Trans. Wirel. Commun., vol. 21, no. 4, pp. 2136–2146, 2022, doi: 10.1109/TWC.2021.3109716.
M. M. R. Paul, T. Perarasi, M. L. Moses, and P. Rahul, “QoS- aware Multi-objective PSO-FA based Optimizer for Uplink Radio Resource Management of LTE-A Network,” in 2021 Third International Conference on Inventive Research in Computing Applications (ICIRCA), 2021, pp. 415–421. doi: 10.1109/ICIRCA51532.2021.9544591.
A. J. Ramadhan, “Secure Slicing and Allocation of Resources of 5G Networks in Software-Defined Networking / Network Functions Virtualization,” IIUM Eng. J., vol. 23, no. 2, pp. 85–103, 2022, doi: 10.31436/iiumej.v23i2.1763.
Downloads
Published
Issue
Section
License
Copyright (c) 2023 Dinar Mustofa, Anggit Wirasto, Arif Muttakin, Deuis Nur Astrida, Dhanar Intan Surya Saputra
This work is licensed under a Creative Commons Attribution-ShareAlike 4.0 International License.