Analysis of Bandwidth Management Algorithms

The internet is one of the most important technological advancements in our era, and it is difficult to imagine what our lives would be like without the internet. The National ICT Household Survey of 2019 conducted by the DICT, only 29% out of 2,617 Barangays have installed Fiber Optic Cable (FOC). Furthermore, 60% have 4G connectivity and only 12% have free wifi. To maximize the utilization of the internet and local area bandwidth of the Local Government Unit (LGUs), this study aims to analyze the different bandwidth management algorithms to mitigate bufferbloat, which is one of the primary causes of slow internet. The method will follow the Network Development Life Cycle (NDLC) and a simulated network environment & the network analysis tool, WaveForm, will be used to evaluate the metrics based on QoS standards TIPHON which are: throughput, latency & jitter. A grading system will also be utilized based on WaveForm’s Bufferbloat Test. After analyzing the results, the data gathered shows evidence of having a significant difference in network quality between before and after the bandwidth management algorithms were implemented. The best overall algorithm, layer_cake, was graded A six (6) times, and A+ four (4) times. The algorithm is categorized as either excellent or good under all parameters and is the only one out of six (6) configurations that has upload quality that is almost equal with the download quality. In conclusion, this showed that proper use of bandwidth management algorithms significantly increases internet performance. The research was able to achieve its objective of evaluating the throughput, latency, and jitter after the implementation. It has successfully shown that there is a significant difference between before and after it was implemented: the results after implementation have consistency and overall better results.

Authors

Publication Details

Journal
Journal of Information Systems Engineering & Management
Published
2025-05-07
DOI
https://doi.org/10.52783/jisem.v10i43s.8527
Primary Topic
Advanced Wireless Network Optimization
Type
article
Field-Weighted Citation Impact
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article

Analysis of Bandwidth Management Algorithms

Ronnie B. Mercado
Journal of Information Systems Engineering & Management
Advanced Wireless Network Optimization
article

Analysis of Bandwidth Management Algorithms

Ronnie B. Mercado
article en

Abstract

The internet is one of the most important technological advancements in our era, and it is difficult to imagine what our lives would be like without the internet. The National ICT Household Survey of 2019 conducted by the DICT, only 29% out of 2,617 Barangays have installed Fiber Optic Cable (FOC). Furthermore, 60% have 4G connectivity and only 12% have free wifi. To maximize the utilization of the internet and local area bandwidth of the Local Government Unit (LGUs), this study aims to analyze the different bandwidth management algorithms to mitigate bufferbloat, which is one of the primary causes of slow internet. The method will follow the Network Development Life Cycle (NDLC) and a simulated network environment & the network analysis tool, WaveForm, will be used to evaluate the metrics based on QoS standards TIPHON which are: throughput, latency & jitter. A grading system will also be utilized based on WaveForm’s Bufferbloat Test. After analyzing the results, the data gathered shows evidence of having a significant difference in network quality between before and after the bandwidth management algorithms were implemented. The best overall algorithm, layer_cake, was graded A six (6) times, and A+ four (4) times. The algorithm is categorized as either excellent or good under all parameters and is the only one out of six (6) configurations that has upload quality that is almost equal with the download quality. In conclusion, this showed that proper use of bandwidth management algorithms significantly increases internet performance. The research was able to achieve its objective of evaluating the throughput, latency, and jitter after the implementation. It has successfully shown that there is a significant difference between before and after it was implemented: the results after implementation have consistency and overall better results.

Journal of Information Systems Engineering & ManagementVol. 10(43s)
Openalex Percentile: Top 92%
Advanced Wireless Network Optimization
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