3 papers
cs.LG2024
CHESTNUT: A QoS Dataset for Mobile Edge Environments
Guobing Zou, Fei Zhao, Shengxiang Hu
Quality of Service (QoS) is an important metric to measure the performance of network services. Nowadays, it is widely used in mobile edge environments to evaluate the quality of s…
cs.LG2024
GACL: Graph Attention Collaborative Learning for Temporal QoS Prediction
Shengxiang Hu, Guobing Zou, Bofeng Zhang +4
Accurate prediction of temporal QoS is crucial for maintaining service reliability and enhancing user satisfaction in dynamic service-oriented environments. However, current method…
cs.AI2024
Large Language Model Meets Graph Neural Network in Knowledge Distillation
Shengxiang Hu, Guobing Zou, Song Yang +3
In service-oriented architectures, accurately predicting the Quality of Service (QoS) is crucial for maintaining reliability and enhancing user satisfaction. However, significant c…