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La Ode Alyandi
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Engineering

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Traffic Management Analysis for Video Streaming Service Optimization Using Per Connection Queue (PCQ) Method Kariyamin; Deyti Lusty A’an; La Ode Alyandi; Adi Imantoyo
Scientific Journal of Engineering Research Vol. 1 No. 1 (2025): January
Publisher : PT. Teknologi Futuristik Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.64539/sjer.v1i1.2025.7

Abstract

Video streaming has become common in everyday life due to its ability to enhance information retrieval and provide an additional dimension to obtaining up-to-date information. However, these benefits are often accompanied by significant bandwidth demands, which can affect network performance. To overcome this challenge, efficient traffic management with separation between browsing and streaming traffic is required. This research addresses network performance issues caused by video streaming services by applying the Per Connection Queue (PCQ) method. This method optimizes streaming video quality while managing network traffic by separating traffic between web browsing and video streaming. The test results show that both types of networks exhibit relatively stable performance over different time intervals. The network without PCQ showed constant values in the measurement parameters, even at 720p video quality with a slight increase in packet loss. Similarly, the network with PCQ showed consistent performance at 240p and 360p video quality, with a slight increase in packet loss in scenario 3 with 720p video quality. The Average Index value of 3.666667 indicates that both have "Good" performance according to TIPHON standardization and can be considered comparable. This conclusion illustrates that the implementation of PCQ does not significantly affect network performance on packet loss, delay, and jitter measurements.
Co-Authors Adi Imantoyo Deyti Lusty A’an Kariyamin