Liping Zhang

According to our database, Liping Zhang authored at least 25 papers between 2018 and 2025.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2025

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

Jiaang Duan, Shenglin Xu, Shiyou Qian, Dingyu Yang, Kangjin Wang, Chenzhi Liao, Yinghao Yu, Qin Hua, Hanwen Hu, Qi Wang, Wenchao Wu, Dongqing Bao, Tianyu Lu, Jian Cao, Guangtao Xue, Guodong Yang, Liping Zhang, Gang Chen

CoRR, September, 2025

InstGenIE: Generative Image Editing Made Efficient with Mask-aware Caching and Scheduling.

Xiaoxiao Jiang, Suyi Li, Lingyun Yang, Tianyu Feng, Zhipeng Di, Weiyi Lu, Guoxuan Zhu, Xiu Lin, Kan Liu, Yinghao Yu, Tao Lan, Guodong Yang, Lin Qu, Liping Zhang, Wei Wang

CoRR, May, 2025

Adaptra: Straggler-Resilient Hybrid-Parallel Training with Pipeline Adaptation.

Tianyuan Wu, Lunxi Cao, Hanfeng Lu, Xiaoxiao Jiang, Yinghao Yu, Siran Yang, Guodong Yang, Jiamang Wang, Lin Qu, Liping Zhang, Wei Wang

CoRR, April, 2025

GREYHOUND: Hunting Fail-Slows in Hybrid-Parallel Training at Scale.

Tianyuan Wu, Wei Wang, Yinghao Yu, Siran Yang, Wenchao Wu, Qinkai Duan, Guodong Yang, Jiamang Wang, Lin Qu, Liping Zhang

Proceedings of the 2025 USENIX Annual Technical Conference, 2025

Katz: Efficient Workflow Serving for Diffusion Models with Many Adapters.

Suyi Li, Lingyun Yang, Xiaoxiao Jiang, Hanfeng Lu, Dakai An, Zhipeng Di, Weiyi Lu, Jiawei Chen, Kan Liu, Yinghao Yu, Tao Lan, Guodong Yang, Lin Qu, Liping Zhang, Wei Wang

Proceedings of the 2025 USENIX Annual Technical Conference, 2025

GPU-Disaggregated Serving for Deep Learning Recommendation Models at Scale.

Lingyun Yang, Yongchen Wang, Yinghao Yu, Qizhen Weng, Jianbo Dong, Kan Liu, Chi Zhang, Yanyi Zi, Hao Li, Zechao Zhang, Nan Wang, Yu Dong, Menglei Zheng, Lanlan Xi, Xiaowei Lu, Liang Ye, Guodong Yang, Binzhang Fu, Tao Lan, Liping Zhang, Lin Qu, Wei Wang

Proceedings of the 22nd USENIX Symposium on Networked Systems Design and Implementation, 2025

Reducing the End-to-End Latency of DNN-Based Recommendation Systems in GPU Pools.

Guangqiang Luan, Pu Pang, Quan Chen, Chen Chen, Guoyao Xu, Chi Zhang, Yanyi Zi, Yinghao Yu, Guodong Yang, Liping Zhang, Minyi Guo

Proceedings of the IEEE International Parallel and Distributed Processing Symposium, 2025

EXIST: Enabling Extremely Efficient Intra-Service Tracing Observability in Datacenters.

Xinkai Wang, Xiaofeng Hou, Chao Li, Yuancheng Li, Du Liu, Guoyao Xu, Guodong Yang, Liping Zhang, Yuemin Wu, Xiaopeng Yuan, Quan Chen, Minyi Guo

Proceedings of the 30th ACM International Conference on Architectural Support for Programming Languages and Operating Systems, 2025

2024

Optimizing Resource Management for Shared Microservices: A Scalable System Design.

Shutian Luo, Chenyu Lin, Kejiang Ye, Guoyao Xu, Liping Zhang, Guodong Yang, Huanle Xu, Cheng-Zhong Xu

ACM Trans. Comput. Syst., May, 2024

FALCON: Pinpointing and Mitigating Stragglers for Large-Scale Hybrid-Parallel Training.

Tianyuan Wu, Wei Wang, Yinghao Yu, Siran Yang, Wenchao Wu, Qinkai Duan, Guodong Yang, Jiamang Wang, Lin Qu, Liping Zhang

CoRR, 2024

SwiftDiffusion: Efficient Diffusion Model Serving with Add-on Modules.

Suyi Li, Lingyun Yang, Xiaoxiao Jiang, Hanfeng Lu, Zhipeng Di, Weiyi Lu, Jiawei Chen, Kan Liu, Yinghao Yu, Tao Lan, Guodong Yang, Lin Qu, Liping Zhang, Wei Wang

CoRR, 2024

DeployFix: Dynamic Repair of Software Deployment Failures via Constraint Solving.

Haoyu Liao, Jianmei Guo, Bo Huang, Yujie Han, Dingyu Yang, Kai Shi, Jonathan Ding, Guoyao Xu, Guodong Yang, Liping Zhang

Proceedings of the 39th IEEE/ACM International Conference on Automated Software Engineering, 2024

2023

Practice of Alibaba Cloud on Elastic Resource Provisioning for Large-scale Microservices Cluster.

Minxian Xu, Lei Yang, Yang Wang, Chengxi Gao, Linfeng Wen, Guoyao Xu, Liping Zhang, Kejiang Ye, ChengZhong Xu

CoRR, 2023

Beware of Fragmentation: Scheduling GPU-Sharing Workloads with Fragmentation Gradient Descent.

Qizhen Weng, Lingyun Yang, Yinghao Yu, Wei Wang, Xiaochuan Tang, Guodong Yang, Liping Zhang

Proceedings of the 2023 USENIX Annual Technical Conference, 2023

Understanding and Optimizing Workloads for Unified Resource Management in Large Cloud Platforms.

Chengzhi Lu, Huanle Xu, Kejiang Ye, Guoyao Xu, Liping Zhang, Guodong Yang, Chengzhong Xu

Proceedings of the Eighteenth European Conference on Computer Systems, 2023

Erms: Efficient Resource Management for Shared Microservices with SLA Guarantees.

Shutian Luo, Huanle Xu, Kejiang Ye, Guoyao Xu, Liping Zhang, Jian He, Guodong Yang, Chengzhong Xu

Proceedings of the 28th ACM International Conference on Architectural Support for Programming Languages and Operating Systems, 2023

2022

An In-Depth Study of Microservice Call Graph and Runtime Performance.

Shutian Luo, Huanle Xu, Chengzhi Lu, Kejiang Ye, Guoyao Xu, Liping Zhang, Jian He, Cheng-Zhong Xu

IEEE Trans. Parallel Distributed Syst., 2022

MLaaS in the Wild: Workload Analysis and Scheduling in Large-Scale Heterogeneous GPU Clusters.

Qizhen Weng, Wencong Xiao, Yinghao Yu, Wei Wang, Cheng Wang, Jian He, Yong Li, Liping Zhang, Wei Lin, Yu Ding

Proceedings of the 19th USENIX Symposium on Networked Systems Design and Implementation, 2022

Cache Antagonists Identification: A Practice from Alibaba Colocation Datacenter.

Kangjin Wang, Chuanjia Hou, Ying Li, Yaoyong Dou, Cheng Wang, Yang Wen, Jie Yao, Liping Zhang

Proceedings of the IEEE International Symposium on Software Reliability Engineering Workshops, 2022

Characterizing Job Microarchitectural Profiles at Scale: Dataset and Analysis.

Kangjin Wang, Ying Li, Cheng Wang, Tong Jia, Kingsum Chow, Yang Wen, Yaoyong Dou, Guoyao Xu, Chuanjia Hou, Jie Yao, Liping Zhang

Proceedings of the 51st International Conference on Parallel Processing, 2022

Workload consolidation in alibaba clusters: the good, the bad, and the ugly.

Yongkang Zhang, Yinghao Yu, Wei Wang, Qiukai Chen, Jie Wu, Zuowei Zhang, Jiang Zhong, Tianchen Ding, Qizhen Weng, Lingyun Yang, Cheng Wang, Jian He, Guodong Yang, Liping Zhang

Proceedings of the 13th Symposium on Cloud Computing, SoCC 2022, 2022

The power of prediction: microservice auto scaling via workload learning.

Shutian Luo, Huanle Xu, Kejiang Ye, Guoyao Xu, Liping Zhang, Guodong Yang, Chengzhong Xu

Proceedings of the 13th Symposium on Cloud Computing, SoCC 2022, 2022

2021

Morphling: Fast, Near-Optimal Auto-Configuration for Cloud-Native Model Serving.

Luping Wang, Lingyun Yang, Yinghao Yu, Wei Wang, Bo Li, Xianchao Sun, Jian He, Liping Zhang

Proceedings of the SoCC '21: ACM Symposium on Cloud Computing, 2021

Characterizing Microservice Dependency and Performance: Alibaba Trace Analysis.

Shutian Luo, Huanle Xu, Chengzhi Lu, Kejiang Ye, Guoyao Xu, Liping Zhang, Yu Ding, Jian He, Chengzhong Xu

Proceedings of the SoCC '21: ACM Symposium on Cloud Computing, 2021

2018

All-Spark: Using Simulation Tests Directly in Production Environments to Detect System Bottlenecks in Large-Scale Systems.

Jialiang Lin, Jun Zhang, Yu Ding, Liping Zhang, Yin Han

Proceedings of the 19th International Middleware Conference, 2018