REKAYASA ARSITEKTUR JARINGAN INTERNET MENGGUNAKAN FRAMEWORK AGILE KANBAN DAN ANALISIS QoS (Quality of Service) PADA METODE LOAD BALANCING

  • Abdul Kharis Universitas Wiralodra
  • Darsanto
  • Mukhsin
Keywords: Routing, Recursive Gateway, Agile, Wireshark

Abstract

During the 2022-2023 period, the number of internet users reached 215.63 million people,
an increase of 2.67% from the previous year (210.03 million users). However, problems arise due to
the inability of bandwidth capacity to handle traffic loads, resulting in network overload. To overcome
this, it is necessary to have 2 uplinks that are managed using load balancing and failover techniques
to even out the traffic load and maintain connectivity. This study examines the Per Connection
Classifier (PCC) load balancing technique and Routing with Failover, using the ETSI TIPHON
standard to measure efficiency and stability through parameters such as Throughput, Packet Loss,
Delay, and Jitter. In network design using the Agile Kanban framework, starting from designing the
topology to comparing results. The experimental results show that PCC load balancing has better
efficiency and stability than Routing with Failover which refers to the ETSI TIPHON rules. The
results of the PCC load balancing test on the throughput parameter are 3353.15 Kbps, the packet loss
parameter is 8.91%, the delay parameter is 2.2 ms, the jitter parameter is 2.1 ms. Even though the
difference in the test results was not significant, PCC load balancing proved to be the most efficient
and stable method for dealing with overloads. The use of the Agile Kanban method in designing
internet networks and implementing load balancing is effective in dealing with overload problems.
Keywords: Agile Kanban, Load Balancing, QoS, Failover

Published
2024-01-24
How to Cite
Abdul Kharis, Darsanto, & Mukhsin. (2024). REKAYASA ARSITEKTUR JARINGAN INTERNET MENGGUNAKAN FRAMEWORK AGILE KANBAN DAN ANALISIS QoS (Quality of Service) PADA METODE LOAD BALANCING . SEMINAR TEKNOLOGI MAJALENGKA (STIMA), 7, 424-432. https://doi.org/10.31949/stima.v7i0.1028