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Dingyu Yang

7 papers hereh-index 441 citations14 works total

Matching runs newest-first, so older work may not be attached to this profile yet.

author position
  • first author2
  • middle author5

Across the 7 of 7 papers where every author was matched, so the position is known.

fields
  • cs.DC4
  • cs.CL1
  • cs.LG1
  • cs.PF1
same name
  • Dingyu Yang — 4 papers, h 1
  • Dingyu Yang — 1 paper, h 2
  • Dingyu Yang — 1 paper, h 0
  • Dingyu Yang — 1 paper, h 1

Either other researchers who publish under this name, or the same person where the external sources have not merged their records.

identity via Semantic Scholar / OpenAlex

activity
20242026
collaborators
Showing cs.DCShow all

4 papers · 1 filter

cs.DC2026

Hestia: Hyperthread-Level Scheduling for Cloud Microservices with Interference-Aware Attention

Dingyu Yang, Fanyong Kong, Jie Dai +5

Modern cloud servers routinely co-locate multiple latency-sensitive microservice instances to improve resource efficiency. However, the diversity of microservice behaviors, coupled…

cs.DC2025

GFS: A Preemption-aware Scheduling Framework for GPU Clusters with Predictive Spot Instance Management

Jiaang Duan, Shenglin Xu, Shiyou Qian +15

The surge in large language models (LLMs) has fundamentally reshaped the landscape of GPU usage patterns, creating an urgent need for more efficient management strategies. While cl…

cs.DC2024

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

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…

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