Abstract
As network traffic increases, congestion and delays that can degrade network service quality and cause network downtime to become a problem. QoS control is one way to solve this problem. Network engineers need to learn about the mechanism of QoS control and use it effectively. However, QoS control is difficult to understand intuitively because it operates inside network devices. Therefore, visualization of QoS control behavior is considered effective for verifying its operation and for efficient learning. In this paper, we implemented a system that visualizes the QoS control process inside a router using animation for learning.
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Yoshihara, K., Fujii, K., Iguchi, N. (2023). A Study of Visualization System for Learning QoS Control. In: Barolli, L. (eds) Complex, Intelligent and Software Intensive Systems. CISIS 2023. Lecture Notes on Data Engineering and Communications Technologies, vol 176. Springer, Cham. https://doi.org/10.1007/978-3-031-35734-3_36
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DOI: https://doi.org/10.1007/978-3-031-35734-3_36
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