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arXiv · 2607.28216

Observing the Relationship between QoS Unpredictability, Prediction Error, and User Activity in a Remote Desktop Service

Keisuke Ishibashi·Xuliang Deng·Yoshiaki Kitaguchi·Kenichi Nagami·Ichiro Mizukoshi·Akira Sato·Daiyu Nobori
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Abstract

With the increasing need for remote work, especially since the COVID-19 era, Remote Desktop Services (RDS) have become widely used. Because interactive RDS usage depends heavily on communication quality, some studies have investigated the relationship between QoS metrics and user activity in RDS. However, these works have een conducted in experimental environments, where the number of samples is limited and may not reflect real-world usage. Consequently, the relationship between temporal fluctuations in QoS and user activity remains underexplored. This paper investigates the relationship between QoS statistics and user activity using real-world usage logs of an RDS, Thin-Telework System. We analyze time-series data of round-trip time (RTT), the number of sent packets, and the number of received bytes per user. Notably, we find that not only the average RTT but also its temporal fluctuation (e.g., standard deviation over time) and its instantaneous deviation from the mean are significantly associated with user activity. From the users' perspective, these features correspond to QoS unpredictability and the prediction error, respectively, and may provide insights into psychological mechanisms underlying user behavior.

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Keisuke Ishibashi, Xuliang Deng, Yoshiaki Kitaguchi, Kenichi Nagami, Ichiro Mizukoshi, Akira Sato, Daiyu Nobori. 2026-07-30. Observing the Relationship between QoS Unpredictability, Prediction Error, and User Activity in a Remote Desktop Service. https://arxiv.org/abs/2607.28216

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