| Aladdin: Optimized maximum flow management for shared production clusters H Wu, W Zhang, Y Xu, H Xiang, T Huang, H Ding, Z Zhang 2019 IEEE International Parallel and Distributed Processing Symposium (IPDPS …, 2019 | 29 | 2019 |
| A benefit-aware on-demand provisioning approach for multi-tier applications in cloud computing H Wu, W Zhang, J Zhang, J Wei, T Huang Frontiers of Computer Science 7, 459-474, 2013 | 28 | 2013 |
| 云计算核心技术研究综述 张建华， 吴恒， 张文博 小型微型计算机系统 34 (11), 2417-2424, 2013 | 12 | 2013 |
| Large-scale resource scheduling based on minimum cost maximum flow 陈晓旭， 吴恒， 吴悦文， 陆志刚， 张文博 Journal of Software 28 (3), 598-610, 2018 | 10* | 2018 |
| Hydra: Deadline-aware and efficiency-oriented scheduling for deep learning jobs on heterogeneous GPUs Z Yang, H Wu, Y Xu, Y Wu, H Zhong, W Zhang IEEE Transactions on Computers 72 (8), 2224-2236, 2023 | 9 | 2023 |
| IO dependent SSD cache allocation for elastic Hadoop applications Z Tang, W Wang, L Sun, Y Huang, H Wu, J Wei, T Huang Science China Information Sciences 61, 1-17, 2018 | 9 | 2018 |
| Determine configuration entry correlations for web application systems W Chen, H Wu, J Wei, H Zhong, T Huang 2016 IEEE 40th Annual Computer Software and Applications Conference (COMPSAC …, 2016 | 9 | 2016 |
| Hermes: Efficient cache management for container-based serverless computing B Yan, H Gao, H Wu, W Zhang, L Hua, T Huang Proceedings of the 12th Asia-Pacific Symposium on Internetware, 136-145, 2020 | 8 | 2020 |
| Nuka: A generic engine with millisecond initialization for serverless computing S Qin, H Wu, Y Wu, B Yan, Y Xu, W Zhang 2020 IEEE International Conference on Joint Cloud Computing, 78-85, 2020 | 8 | 2020 |
| VMFDF: a virtualization-based multi-level fault detection framework for high availability computing J Zhang, W Zhang, H Wu, T Huang 2012 IEEE Ninth International Conference on e-Business Engineering, 367-373, 2012 | 6 | 2012 |
| Instantchain: Enhancing order-execute blockchain systems for latency-sensitive applications J Shi, H Wu, D Luo, H Gao, W Zhang International Conference on Database Systems for Advanced Applications, 483-498, 2023 | 5 | 2023 |
| Talos: A weighted speedup-aware device placement of deep learning models Y Xu, H Wu, W Zhang, C Yang, Y Wu, H Gao, T Wang 2021 IEEE 32nd International Conference on Application-specific Systems …, 2021 | 5 | 2021 |
| HW3C: a heuristic based workload classification and cloud configuration approach for big data analytics Y Wu, H Wu, W Zhang, Y Xu, J Wei, H Zhong Proceedings of the 10th Asia-Pacific Symposium on Internetware, 1-10, 2018 | 5 | 2018 |
| 面向微服务架构的容器级弹性资源供给方法 郝庭毅， 吴恒， 吴国全， 张文博 计算机研究与发展 54 (3), 597-608, 2017 | 5 | 2017 |
| SPLIT: QoS-Aware DNN Inference on Shared GPU via Evenly-Sized Model Splitting D Luo, T Yu, Y Wu, H Wu, T Wang, W Zhang Proceedings of the 52nd International Conference on Parallel Processing, 605-614, 2023 | 4 | 2023 |
| Apollo: Rapidly picking the optimal cloud configurations for big data analytics using a data-driven approach YW Wu, YJ Xu, H Wu, LG Su, WB Zhang, H Zhong Journal of Computer Science and Technology 36, 1184-1199, 2021 | 4 | 2021 |
| EOP: efficient operator partition for deep learning inference over edge servers Y Xu, H Wu, W Zhang, Y Hu Proceedings of the 18th ACM SIGPLAN/SIGOPS International Conference on …, 2022 | 3 | 2022 |
| 一种基于硬件计数器的虚拟机性能干扰估算方法 王卅， 张文博， 吴恒， 宋云奎， 魏峻， 钟华， 黄涛 软件学报 26 (8), 2074-2090, 2015 | 3 | 2015 |
| Serving unseen deep learning models with near-optimal configurations: a fast adaptive search approach Y Wu, H Wu, D Luo, Y Xu, Y Hu, W Zhang, H Zhong Proceedings of the 13th Symposium on Cloud Computing, 461-476, 2022 | 2 | 2022 |
| Best vm selection for big data applications across multiple frameworks by transfer learning Y Wu, H Wu, Y Xu, Y Hu, W Zhang, H Zhong, T Huang Proceedings of the 50th International Conference on Parallel Processing, 1-11, 2021 | 2 | 2021 |
Yuanjia XuInstitute of Software, Chinese Academy of Sciences在 otcaix.iscas.ac.cn 的电子邮件经过验证
