叶可江  [English]
  博士, 副研究员, 博士生导师

  中国科学院深圳先进技术研究院
  先进计算与数字工程研究所
  云计算技术研究中心
  
  邮箱: kj.ye at siat.ac.cn 
  电话:0755-86392355  
  地址: 深圳市南山区学苑大道1068号,518055
       


简历  |  研究方向  |  教授课程  |  科研项目  |  发表论文  |  专业服务  |  荣誉奖励  |  DSN Lab  ]


简历

叶可江,博士,副研究员,博士生导师,云计算技术研究中心副主任。浙江大学-悉尼大学联合培养博士,美国卡内基梅陇大学博士后,入选中国科学院青年创新促进会会员、深圳市海外高层次人才“孔雀计划”B类、南山区“领航人才”B类。主要研究方向为云计算、大数据及网络系统,在包括IEEE TC、TPDS、TCC等顶级国际期刊和会议发表论文70余篇,Google Scholar引用1100余次,单篇最高引用200余次,撰写专著1本《DartCloud:云基础设施服务平台》(科学出版社出版),申请PCT国际/国内专利60余项。主持包括国家重点研发子课题、国家自然科学基金项目在内的科研项目共10余项。担任国际性能评估标准化委员会SPEC Research Group和Cloud Working Group的委员、中国计算机学会体系结构专委会、系统软件专委会、高性能计算专委会委员、中科院青促会信管分会常务委员,担任国家自然科学基金委、广东省及深圳市科技项目评审专家,担任IEEE TPDS等20个期刊的审稿人及多个国际会议的程序委员会委员,被并行与分布式系统著名期刊JPDC评为2015年度“杰出审稿人”(top 10%)。曾获得中国电子学会科技进步一等奖及三次国际会议最佳论文奖等奖项。

研究方向

  • 云计算、大数据系统及网络:性能、能耗及可靠性研究

  • 教授课程

  • 硕士生课程,高级计算机网络,40学时
  • 博士生课程,计算机数学,40学时

  • 科研项目

  • 国家重点研发计划,面向城市公共服务的高效融合与动态认知技术和平台子课题负责人
  • 国家自然科学基金青年项目,面向高干扰共享云的性能异常检测方法研究主持
  • 中央军委装备预研基金项目,XXXX研究主持
  • 广东省重点领域研发计划,面向云数据中心智能管控的软件定义方法与关键技术子课题负责人
  • 澳门重点研发项目,协同智能驱动的无人驾驶关键技术与平台研究子课题负责人
  • 中国科学院,青促会项目主持
  • 深圳市基础研究学科布局(重点)项目,基于深度机器学习方法的网络异常行为检测的研究主持
  • 深圳市基础研究自由探索项目,基于图推理的云计算系统性能诊断方法研究主持
  • 阿里巴巴创新研究计划(AIR)项目,基于机器学习的云数据中心智能管理及容量规划联合主持
  • 阿里巴巴创新研究计划(AIR)项目,混部调度系统的性能调优与稳定性优化联合主持

  • 发表论文

    [著作]

      《DartCloud: 云基础设施服务平台》, 姜晓红, 叶可江 著,科学出版社,2015

      本书从云资源调度、虚拟机在线迁移、云数据管理、云能耗管理及云性能管理等5个方面介绍了我们在云计算研究上取得的最新进展。最后介绍了由我们课题组开发的一个跨域云平台DartCloud。

    [期刊论文]

    1. Algorithmics of Cost-Driven Computation Offloading in the Edge-Cloud Environment
      Mingzhe Du, Yang Wang, Kejiang Ye, Cheng-Zhong Xu
      IEEE Transactions on Computers, 2020. DOI:10.1109/TC.2020.2976996

    2. Multi-tier Workload Consolidations in the Cloud: Profiling, Modeling and Optimization
      Kejiang Ye, Haiying Shen, Yang Wang, Cheng-Zhong Xu
      IEEE Transactions on Cloud Computing, 2020. DOI:10.1109/TCC.2020.2975788

    3. The Strong Sub-structure and Feature Attention Mechanism for Image Semantic Segmentation
      Yuhang Zhang, Hongshuai Ren, Wensi Yang, Yang Wang, Kejiang Ye*, Cheng-Zhong Xu
      Concurrency and Computation: Practice and Experience, 2020. DOI:10.1002/cpe.5920

    4. Interference Analysis of Co-located Container Workloads: A Perspective from Hardware Performance Counters
      Wenyan Chen, Kejiang Ye*, Chengzhi Lu, Dongdai Zhou, Cheng-Zhong Xu
      Journal of Computer Science and Technology, vol.35, no.2, pp.412-417, 2020.

    5. Empirical Mode Decomposition and Temporal Convolutional Networks for Remaining Useful Life Estimation
      Wensi Yang, Qingfeng Yao, Kejiang Ye*, Cheng-Zhong Xu
      International Journal of Parallel Programming, vol.48, no.1, pp.61-79, 2020.

    6. Profiling-based Workload Consolidation and Migration in Virtualized Data Centers
      Kejiang Ye, Zhaohui Wu, Chen Wang, Bing Bing Zhou, Weisheng Si, Xiaohong Jiang, Albert Y. Zomaya
      IEEE Transactions on Parallel and Distributed Systems, vol. 26, no. 3, pp. 878-890, 2015.

    7. Virt-B: Towards Performance Benchmarking of Virtual Machine Systems
      Kejiang Ye, Zhaohui Wu, Bing Bing Zhou, Xiaohong Jiang, Chen Wang, Albert Y. Zomaya
      IEEE Internet Computing, vol. 18, no. 3, pp. 64-72, 2014.

    8. Performance Combinative Evaluation from Single Virtual Machine to Multiple Virtual Machine Systems
      Kejiang Ye, Jianhua Che, Qinming He, Dawei Huang, Xiaohong Jiang
      International Journal of Numerical Analysis and Modeling, vol.9, no.2, pp.351-370, 2012.

    9. Power Management of Virtualized Cloud Computing Platform
      Kejiang Ye, Zhaohui Wu, Xiaohong Jiang, Qinming He
      Chinese Journal of Computers, vol.35, no.6, pp.1262-1285, 2012.

    [会议论文]

    1. MA-LSTM: A Multi-attention Based LSTM for Complex Pattern Extraction
      Jingjie Guo, Kelang Tian, Kejiang Ye*, Cheng-Zhong Xu
      25th International Conference on Pattern Recognition (ICPR'2020), 2020.

    2. AOAM: Automatic Optimization of Adjacency Matrix for Graph Convolutional Network
      Yuhang Zhang, Hongshuai Ren, Jiexia Ye, Xitong Gao, Yang Wang, Kejiang Ye*, Cheng-Zhong Xu
      25th International Conference on Pattern Recognition (ICPR'2020), 2020.

    3. PLMSys: A Cloud Monitoring System Based on Cluster Performance and Container Logs
      Yongzhong Sun, Kejiang Ye*, Cheng-Zhong Xu
      2020 International Conference on Cloud Computing (CLOUD'2020), 2020.

    4. A Network Intrusion Detection Approach Based on Asymmetric Convolutional Autoencoder
      Shujian Ji, Kejiang Ye*, Cheng-Zhong Xu
      2020 International Conference on Cloud Computing (CLOUD'2020), 2020.

    5. Performance Evaluation on Blockchain Systems: A Case Study on Ethereum, Fabric, Sawtooth and Fisco-Bcos
      Rui Wang, Kejiang Ye*, Tianhui Meng, Cheng-Zhong Xu
      2020 International Conference on Services Computing (SCC'2020), 2020.

    6. Multi-STGCnet: A Graph Convolution Based Spatial-Temporal Framework for Subway Passenger Flow Forecasting
      Jiexia Ye, Juanjuan Zhao, Chengzhong Xu and Kejiang Ye
      2020 International Joint Conference on Neural Networks (IJCNN), 2020.

    7. A Data-Driven Method for Dynamic OD Passenger Flow Matrix Estimation in Urban Metro Systems
      Jiexia Ye, Juanjuan Zhao, Liutao Zhang, Chengzhong Xu, Jun Zhang and Kejiang Ye
      2020 International Conference on Big Data (BigData), 2020.

    8. Understanding the Workload Characteristics in Alibaba: A View from Directed Acyclic Graph Analysis
      Chengzhi Lu, Wenyan Chen, Kejiang Ye*, Cheng-Zhong Xu
      2020 International Conference on High Performance Big Data and Intelligent Systems (HPBD&IS), pp.1-8, 2020. Best Paper Award!

    9. A Destination Prediction Model for Individual Passengers in Urban Rail Transit
      Hao Wang, Juanjuan Zhao, Kejiang Ye, Cheng-Zhong Xu, Liutao Zhang, Jun Zhang, Jing Sun
      2020 International Conference on High Performance Big Data and Intelligent Systems (HPBD&IS), pp.138-143, 2020.

    10. ADGS: Anomaly Detection and Localization based on Graph Similarity in Container-based Clouds
      Chengzhi Lu, Kejiang Ye*, Wenyan Chen and Cheng-Zhong Xu
      25th IEEE International Conference on Parallel and Distributed Systems (ICPADS'2019), pp.53-60, 2019.

    11. DCSA: Using Density-Based Clustering and Sequential Association Analysis to Predict Alarms in Telecommunication Networks
      Peng Lin, Kejiang Ye*, Ming Chen and Cheng-Zhong Xu
      25th IEEE International Conference on Parallel and Distributed Systems (ICPADS'2019), pp.1-8, 2019.

    12. BTS: Balanced Task Scheduling Strategy based on Multi-resource Prediction and Allocation in Cloud Environment
      Yongzhong Sun, Kejiang Ye*, Wenbo Wang, Cheng-Zhong Xu
      16th IFIP International Conference on Network and Parallel Computing (NPC'2019), pp.345-349, 2019.

    13. DAFL: Deep Adaptive Feature Learning for Network Anomaly Detection
      Shujian Ji, Tongzheng Sun, Kejiang Ye*, Wenbo Wang, Cheng-Zhong Xu
      16th IFIP International Conference on Network and Parallel Computing (NPC'2019), pp.350-354, 2019.

    14. Empirical Mode Decomposition and Temporal Convolutional Networks for Remaining Useful Life Estimation
      Wensi Yang, Qingfeng Yao, Kejiang Ye*, Cheng-Zhong Xu
      16th IFIP International Conference on Network and Parallel Computing (NPC'2019), 2019.

    15. Traffic Classification and Application Identification based on Machine Learning in Large-scale Supercomputing Center
      Shilin Zhao, Kejiang Ye*, Cheng-Zhong Xu
      21th IEEE International Conference on High Performance Computing and Communications (HPCC'2019), pp.2299-2304, 2019.

    16. Co-locating Online Workload and Offline Workload in the Cloud: An Interference Analysis
      Wenyan Chen, Kejiang Ye*, Cheng-Zhong Xu
      21th IEEE International Conference on High Performance Computing and Communications (HPCC'2019), pp.2278-2283, 2019.

    17. Live Migration of Virtual Machines in OpenStack: A Perspective from Reliability Evaluation
      Jin Hao, Kejiang Ye*, Cheng-Zhong Xu
      2019 International Conference on Cloud Computing (CLOUD'2019), pp.99-113, 2019.

    18. CMonitor: A Monitoring and Alarming Platform for Container-based Clouds
      Shujian Ji, Kejiang Ye*, Cheng-Zhong Xu
      2019 International Conference on Cloud Computing (CLOUD'2019), pp.324–339, 2019.

    19. Dynamic Network Anomaly Detection System by using Deep Learning Techniques
      Peng Lin, Kejiang Ye*, Cheng-Zhong Xu
      2019 International Conference on Cloud Computing (CLOUD'2019), pp.161–176, 2019.

    20. Performance Benchmarking and Optimization for Blockchain Systems: A Survey
      Rui Wang, Kejiang Ye*, Cheng-Zhong Xu
      2019 International Conference on Blockchain (ICBC'2019), pp.171–185, 2019.

    21. FFD: A Federated Learning Based Method for Credit Card Fraud Detection
      Wensi Yang, Yuhang Zhang, Kejiang Ye, Li Li, Cheng-Zhong Xu
      2019 International Congress on Bigdata (BigData Congress'2019), pp.18–32, 2019.

    22. The Constrained GAN with Hybrid Encoding in Predicting Financial Behavior
      Yuhang Zhang, Wensi Yang, Wanlin Sun, Kejiang Ye*, Ming Chen, Cheng-Zhong Xu
      2019 International Conference on AI & Mobile Services (AIMS'2019), pp.13–27, 2019. Best Paper Award!

    23. FADN: Features Attention with Deep Networks for Remote-Image Classification
      Yuhang Zhang, Hongshuai Ren, Wensi Yang, Jingya Lv, Cheng-Zhong Xu, Kejiang Ye*
      2019 International Conference on High Performance Big Data and Intelligent Systems (HPBD&IS), pp.79–84, 2019.

    24. Interference Analysis of Co-located Container Workloads: A Perspective from Hardware Performance Counters
      Wenyan Chen, Kejiang Ye*, Cheng-Zhong Xu
      ACM TURC 2019 (SIGOPS ChinaSys) (Recommonded to Publish at Journal of Computer Science and Technology), 2019.

    25. NetDetector: an Anomaly Detection Platform for Networked Systems
      Peng Lin, Kejiang Ye*, Cheng-Zhong Xu
      IEEE International Conference on Real-time Computing and Robotics (RCAR'2019), pp.69-74, 2019.

    26. How Does the Workload Look Like in Production Cloud? Analysis and Clustering of Workloads on Alibaba Cluster Trace
      Wenyan Chen, Kejiang Ye*, Yang Wang, Guoyao Xu, Cheng-Zhong Xu
      24th IEEE International Conference on Parallel and Distributed Systems (ICPADS'2018), pp.102-109, 2018.

    27. Modeling Application Performance in Docker Containers using Machine Learning Techniques
      Kejiang Ye, Yanmin Kou, Chengzhi Lu, Yang Wang, Cheng-Zhong Xu
      24th IEEE International Conference on Parallel and Distributed Systems (ICPADS'2018), pp.1057-1062, 2018.

    28. A Deep Learning Approach For Network Anomaly Detection based on AMF-LSTM
      Mingyi Zhu, Kejiang Ye*, Yang Wang, Cheng-Zhong Xu
      15th IFIP International Conference on Network and Parallel Computing (NPC'2018), pp.137–141, 2018.

    29. Reducing Tail Latency of Interactive Multi-tier Workloads in the Cloud
      Kejiang Ye, Cheng-Zhong Xu
      IEEE International Conference on Cluster Computing (CLUSTER'2018), pp.162-163, 2018.

    30. Fault Injection and Detection for Artificial Intelligence Applications in Container-based Clouds
      Kejiang Ye, Yangyang Liu, Guoyao Xu, Cheng-Zhong Xu
      2018 International Conference on Cloud Computing (CLOUD'2018), pp.112-127, 2018.

    31. Network Anomaly Detection and Identification based on Deep Learning Methods
      Mingyi Zhu, Kejiang Ye*, Cheng-Zhong Xu
      2018 International Conference on Cloud Computing (CLOUD'2018), pp.219-234, 2018.

    32. Imbalance in the Cloud: an Analysis on Alibaba Cluster Trace
      Chengzhi Lu, Kejiang Ye*, Guoyao Xu, Cheng-Zhong Xu, Tongxin Bai
      IEEE International Conference on Big Data (BigData'2017), pp.2802-2810, 2017.

    33. Anomaly Detection in Clouds: Challenges and Practice
      Kejiang Ye
      ETCD2017 in conjunction with 22nd ACM International Conference on Architectural Support for Programming Languages and Operating Systems (ASPLOS'2017), 2017.

    34. Performance Tuning and Modeling for Big Data Applications in Docker Containers
      Kejiang Ye, Yunjie Ji
      12th IEEE International Conference on Networking, Architecture, and Storage (NAS'2017), 2017.

    35. VC-Migration: Live Migration of Virtual Cluster in the Cloud
      Kejiang Ye, Xiaohong Jiang, Ran Ma, Fengxi Yan
      ACM/IEEE International Conference on Grid Computing (GRID'2012), pp.209-218, 2012.

    36. Live Migration of Multiple Virtual Machines with Resource Reservation in Cloud Computing Environments
      Kejiang Ye, Xiaohong Jiang, Dawei Huang, Jianhai Chen, Bei Wang
      IEEE International Conference on Cloud Computing (CLOUD'2011), pp.267-274, 2011.

    37. Analyzing and Modeling the Performance in Xen-based Virtual Cluster Environment
      Kejiang Ye, Xiaohong Jiang, Siding Chen, Dawei Huang, Bei Wang
      IEEE International Conference on High Performance Computing and Communications (HPCC'2010), pp.273-280, 2010.

    38. Two Optimization Mechanisms to Improve the Isolation Property of Server Consolidation in Virtualized Multi-core Server
      Kejiang Ye, Xiaohong Jiang, Deshi Ye, Dawei Huang
      IEEE International Conference on High Performance Computing and Communications (HPCC'2010), pp.281-288, 2010.

    39. Virtual Machine Based Energy-Efficient Data Center Architecture for Cloud Computing: A Performance Perspective
      Kejiang Ye, Dawei Huang, Xiaohong Jiang, Huajun Chen, Shuang Wu
      IEEE/ACM International Conference on Green Computing and Communications (GreenCom'2010), pp.171-178, 2010.

    40. Evaluate the Performance and Scalability of Image Deployment in Virtual Data Center
      Kejiang Ye, Xiaohong Jiang, Qinming He, Xing Li, Jianhai Chen
      IFIP International Conference on Network and Parallel Computing(NPC'2010), pp.390-401, 2010.

    41. vHadoop: A Scalable Hadoop Virtual Cluster Platform for MapReduce-Based Parallel Machine Learning with Performance Consideration
      Kejiang Ye, Xiaohong Jiang, Yanzhang He, Xiang Li, Haiming Yan, Peng Huang
      IEEE International Conference on Cluster Computing Workshops (ClusterW), pp.152-160, 2012.

    42. vTestkit: A Performance Benchmarking Framework for Virtualization Environments
      Kejiang Ye, Jianhua Che, Xiaohong Jiang, Jianhai Chen, Xing Li
      Annual ChinaGrid Conference (ChinaGrid'2010), pp.130-136, 2010.

    [发明专利]

    1. 叶可江,陈文艳,须成忠. 云计算集群混部作业调度方法、装置、服务器及存储装置. PCT/CN2019/125432 (受理)

    2. 叶可江,纪书鉴,须成忠. 一种基于特征适应神经网络的流量异常检测方法. PCT/CN2019/125189 (受理)

    3. 叶可江,赵世林,纪书鉴,须成忠. 一种基于深度神经网络的流量分类方法、系统及电子设备. PCT/CN2019/124267 (受理)

    4. 叶可江,卢澄志,须成忠. 应用于分布式容器云平台的异常检测与定位方法及装置. PCT/CN2019/123989 (受理)

    5. 叶可江,卢澄志,须成忠. 一种容器云平台异常检测方法、系统及电子设备. PCT/CN2019/123168 (受理)

    6. 叶可江,王锐,须成忠. 一种区块链性能测试系统及方法. PCT/CN2018/121333 (受理)

    7. 叶可江,赵世林,须成忠. 一种网络流量分类方法、系统及电子设备. PCT/CN2018/112401 (受理)

    8. 叶可江,林鹏,须成忠. 电信网络告警预测方法及系统. PCT/CN2019/098807 (受理)

    9. 叶可江,陈文艳,须成忠. 离线混部作业的资源调度方法及服务器系统. CN201911282169.X (受理)

    10. 叶可江,卢澄志,须成忠. 微服务集群调度方法、调度装置及计算机可读存储介质. CN201911282169.X (受理)

    11. 叶可江,田科烺,须成忠. 一种交通流量的预测方法、系统及终端设备. CN201911279828.4 (受理)

    12. 叶可江,郭景杰,须成忠. 一种基于深度学习的交通流量实时预测方法. CN201911309097.3 (受理)

    13. 叶可江,纪书鉴,须成忠. 网络流量异常检测模型的训练方法及检测方法. CN201911268314.9 (受理)

    14. 叶可江,孙永仲,须成忠. 容器云环境下的任务调度方法、装置、服务器及存储装置. CN201911198319.9 (受理)

    15. 叶可江,孙永仲,须成忠. 基于马尔可夫链和时间序列模型的服务器负载预测方法及系统. CN201811544236.6 (受理)

    16. 叶可江,赵世林,须成忠. 基于流量相似性比对的加密流识别方法、装置及存储介质. CN201811537166.1 (受理)

    17. 叶可江,纪书鉴,须成忠. 网络流量实时检测方法及检测终端、计算机可读存储介质. CN201811537156.8 (受理)

    18. 叶可江,卢澄志,须成忠. 服务依赖关系图的构造方法、系统及存储介质. CN201811518258.5 (受理)

    19. 叶可江,赵世林,须成忠. 一种网络流量分类方法、系统及电子设备. CN201811113686.X (受理)

    20. 叶可江,纪书鉴,须成忠. 一种网络异常检测方法、系统及电子设备. CN201811038787.5 (受理)

    21. 叶可江,朱明一,须成忠. 一种网络异常识别检测方法及装置. CN201810577652.X (受理)

    22. 叶可江,郝锦,须成忠. OpenStack集群配置及批量部署方法及系统. CN201811546984.8 (受理)

    23. 叶可江,陈文艳,须成忠. 一种云计算负载聚类方法、系统及电子设备. No. ZL 201811188871.5 (授权)

    24. 吴朝晖,叶可江,姜晓红,李翔. 一种基于应用程序性能约束的虚拟机节能整合规划方法. No. ZL 201310186276.9 (授权)

    25. 吴朝晖,叶可江,姜晓红,李翔. 一种面向云数据中心的大规模虚拟机快速迁移决策方法. No. ZL 201310186581.8 (授权)

    26. 吴朝晖,叶可江,姜晓红,何钦铭. 一种缓存感知的多核处理器虚拟机故障隔离保证方法. No. ZL 201110008236.6 (授权)

    27. 吴朝晖,叶可江,姜晓红,何钦铭. 基于虚拟机迁移和负载感知整合的云数据中心节能方法. No. ZL 201110008227.7 (授权)

    [软件著作权]

    1. xDetector网络异常检测平台[简称:xDetector]V1.0. 登记号:2019SR0365334

    2. xMonitor容器云预警监控平台[简称:xMonitor]V1.0. 登记号:2018SR1010771


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