Through the RTT Lens: A Comparative study of CUBIC and BBR Congestion Control

Runjeeth Nikam, Kunal Babbar and Gaurav

International Journal of Scientific Research in Computer Science, Engineering and Information Technology, 2023, vol. 9, issue 6, 291-296

Abstract: As the demand for high-performance internet applications continues to surge, the efficiency of network congestion control algorithms becomes a critical factor in ensuring a seamless user experience. This research paper delves into the comparative analysis of two prominent congestion control mechanisms: BBR (Bottleneck Bandwidth and Round- trip propagation time) and Cubic[1]. Both algorithms play pivotal roles in regulating data flow within networks, but their approaches differ significantly. The comparison section highlights the adaptive behavior of each algorithm, emphasizing real-world implications for diverse network scenarios. The discussion interprets the findings, offering a nuanced understanding of the strengths and weaknesses of both BBR and Cubic, thereby contributing to the broader discourse on congestion control strategies.

Keywords: ALU; Adders; Subtractors; Borrow (search for similar items in EconPapers)
Date: 2023
Note: Article URL: https://ijsrcseit.com/CSEIT2390652
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Persistent link: https://EconPapers.repec.org/RePEc:jbh:ijsrcs:v9:y2023:i6:id:hcseit2390652

DOI: 10.32628/CSEIT2390652

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