1 citations · 3 across the 5 of their papers we have counts for
5 papers
A Heavy-Load-Enhanced and Changeable-Periodicity-Perceived Workload Prediction Network
Feiyi Chen, Naijin Liu, Zhen Qin +3
Cloud providers can greatly benefit from accurate workload prediction. However, the workload of cloud servers is highly variable, with occasional workload bursts, which makes workl…
Cloud-Native Computing: A Survey from the Perspective of Services
Shuiguang Deng, Hailiang Zhao, Binbin Huang +6
The development of cloud computing delivery models inspires the emergence of cloud-native computing. Cloud-native computing, as the most influential development principle for web a…
LCE-Calib: Automatic LiDAR-Frame/Event Camera Extrinsic Calibration With A Globally Optimal Solution
Jianhao Jiao, Feiyi Chen, Hexiang Wei +2
The combination of LiDARs and cameras enables a mobile robot to perceive environments with multi-modal data, becoming a key factor in achieving robust perception. Traditional frame…
MMFN: Multi-Modal-Fusion-Net for End-to-End Driving
Qingwen Zhang, Mingkai Tang, Ruoyu Geng +3
Inspired by the fact that humans use diverse sensory organs to perceive the world, sensors with different modalities are deployed in end-to-end driving to obtain the global context…
Learning to Schedule Multi-Server Jobs with Fluctuated Processing Speeds
Hailiang Zhao, Shuiguang Deng, Feiyi Chen +3
Multi-server jobs are imperative in modern cloud computing systems. A noteworthy feature of multi-server jobs is that, they usually request multiple computing devices simultaneousl…