Kejiang Ye  [中文]
  PhD, Associate Professor

  Center for Cloud Computing Research
  Shenzhen Institutes of Advanced Technology
  Chinese Academy of Sciences
  
  Email:   kj.ye at siat.ac.cn  
  Tel:     +86-755-86392355
  Address: 1068 Xueyuan Boulevard,
           Nanshan, Shenzhen, 518055, China		   
       


Biography  |  Research Interests  |  Education  |  Working  |  Teaching  |  Projects  |  Publications  |  Professional Experience  |  Honors & Awards  ]


I'm looking for highly motivated Post-doc, PhD, and Master Students! Visiting and undergraduate students are also welcome!

Biography

Kejiang Ye is currently an Associate Professor at the Center for Cloud Computing Research, Shenzhen Institutes of Advanced Technology (SIAT), Chinese Academy of Sciences (CAS). Before joining SIAT, he was a Post Doctoral Research Associate at Carnegie Mellon University (CMU), from April 2014 to April 2015, and was a Post Doctoral Research Fellow at Wayne State University (WSU), from April 2015 to October 2016. He received his B.S and Ph.D degree both from Zhejiang University in 2008 and 2013 respectively. He was also a joint Ph.D student at The University of Sydney from 2012 to 2013. His research interests focus on the performance, energy, and reliability of Cloud computing, Big data systems and Network . He is a member of SPEC Research Group and is also a member of IEEE, ACM, CCF and CIE.

Research Interests

  • Cloud Computing, Big Data Systems, Network
  • Performance: Performance analysis, modeling and optimization
  • Energy: Energy efficiency for cloud data centers
  • Reliability: Anomaly/Fault detection, inference and recovery

  • Education Background

  • 2004-2008, BS, Zhejiang University, China
  • 2008-2013, PhD, Zhejiang University, China
  • 2011-2012, Joint PhD, The University of Sydney, Australia

  • Working Experience

  • 2014-2015, Postdoc, Cargenie Mellon University, Pittsburgh, PA, USA
  • 2015-2016, Postdoc, Wayne State University, Detroit, MI, USA
  • 2016-now , Associate Professor, Shenzhen Institutes of Advanced Technology, CAS

  • Teaching

  • Graduate Course, Advanced Computer Networks, Spring 2018
  • Doctoral Course, Mathematics in Computer Science, Spring 2017

  • Projects

  • NSFC Project, Anomaly Detection Methods for Highly Interfered Sharing Clouds, PI
  • Shenzhen Key Project, Abnormal Network Behavior Detection Based on Deep Learning Methods, PI
  • Shenzhen Basic Project, Performance Diagnosis Methods for Cloud Computing System Based on Graph Reasoning, PI
  • Alibaba Innovative Research (AIR) Project, Intelligent Resource Management and Capacity Planning of Cloud Data Center Based on Machine Learning, Co-PI

  • Publications

    [Book]

      "DartCloud: A Cloud Infrastructure Service Platform", by Xiaohong Jiang and Kejiang Ye, Science Press, 2015 (in Chinese)

      A Book introduces our recent work on cloud resource management, live migration of VM, cloud data management, cloud energy management and cloud performance management; a cross-domain cloud management platform - DartCloud is also introduced.

    [Journals]

    1. 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.

    2. 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.

    3. 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.

    4. 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.

    [Conferences]

    1. 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
      in Proceedings of 24th IEEE International Conference on Parallel and Distributed Systems (ICPADS'2018), pp.102-109, 2018.

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

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

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

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

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

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

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

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

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

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

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

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

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

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

    16. 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
      in Proceedings of IEEE International Conference on Cluster Computing Workshops (ClusterW), pp.152-160, 2012.

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

    [Patents]

    1. A Cache-Aware VM Scheduling Method for Fault Isolation in Multi-core Processor
      Zhaohui Wu, Kejiang Ye, Xiaohong Jiang, Qinming He
      No. ZL 201110008236.6. (Granted, China Patent)

    2. An Energy Saving Method for Cloud Data Center based on Live VM Migration and Workload-Aware Consolidation
      Zhaohui Wu, Kejiang Ye, Xiaohong Jiang, Qinming He
      No. ZL 201110008227.7. (Granted, China Patent)

    3. An Energy Efficient Consolidation Planning Method of Virtual Machines based on Application Performance Constraints
      Zhaohui Wu, Kejiang Ye, Xiaohong Jiang, Xiang Li
      No. ZL 201310186276.9. (Granted, China Patent)

    4. A Fast Migration Decision Method for Large-Scale Virtual Machines in Cloud Data Centers
      Zhaohui Wu, Kejiang Ye, Xiaohong Jiang, Xiang Li
      No. ZL 201310186581.8. (Granted, China Patent)


    Professional Experience


    Honors & Awards