5 citations · 11 across the 5 of their papers we have counts for
5 papers
PAST: A Primary-Auxiliary Spatio-Temporal Network for Traffic Time Series Imputation
Hanwen Hu, Zimo Wen, Shiyou Qian +1
Traffic time series imputation is crucial for the safety and reliability of intelligent transportation systems, while diverse types of missing data, including random, fiber, and bl…
Mitigating Interference of Microservices with a Scoring Mechanism in Large-scale Clusters
Dingyu Yang, Kangpeng Zheng, Shiyou Qian +2
Co-locating latency-critical services (LCSs) and best-effort jobs (BEJs) constitute the principal approach for enhancing resource utilization in production. Nevertheless, the co-lo…
Humas: A Heterogeneity- and Upgrade-aware Microservice Auto-scaling Framework in Large-scale Data Centers
Qin Hua, Dingyu Yang, Shiyou Qian +3
An effective auto-scaling framework is essential for microservices to ensure performance stability and resource efficiency under dynamic workloads. As revealed by many prior studie…
MOPAR: A Model Partitioning Framework for Deep Learning Inference Services on Serverless Platforms
Jiaang Duan, Shiyou Qian, Dingyu Yang +3
With its elastic power and a pay-as-you-go cost model, the deployment of deep learning inference services (DLISs) on serverless platforms is emerging as a prevalent trend. However,…
GDOD: Effective Gradient Descent using Orthogonal Decomposition for Multi-Task Learning
Xin Dong, Ruize Wu, Chao Xiong +6
Multi-task learning (MTL) aims at solving multiple related tasks simultaneously and has experienced rapid growth in recent years. However, MTL models often suffer from performance…