3 citations · 6 across the 3 of their papers we have counts for
3 papers
cs.DC2024★ 3 cited
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…
cs.DC2024★ 1 cited
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…
cs.DC2024★ 2 cited
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,…