Education background
Bachelor of Computer Science & Technology, Tsinghua University, Beijing, China, 1999;
Ph.D. in Computer Science & Technology, Tsinghua University, Beijing, China, 2004.
Social service
Editorial Board Member: KSII Transactions on Internet and Information Systems (2013-)
Editorial Board Member: International Journal on Advances in Intelligent Systems (2012-)
PC Vice Co-Chair: FutureTech 2012
PC Member: SERVICE COMPUTATION, INTENSIVE (2009-);
PC Member: ADVCOMP, HPC China (2013-);
PC Member: FCST 2014, DCPIS 2013, Grid 2012, CloudCom 2012, CSE 2011;
Member: IEEE (2005-);
Member: ACM (2009-);
Member: China Computer Federation (CCF) Technical Committee on Information Storage (2015-)
Areas of Research Interests
Big Data
Graph Computing
Cloud Computing
Distributed Computing and System
Research Projects
National Key Research & Development Program of China: Contents Development and Applications Integration for High-Performance Computing Professionals Educations and Training (2018-2021)
National Key Research & Development Program of China: Distributed Processing Technologies for Heterogeneous Graph Computer Systems (2018-2021)
National Key Research & Development Program of China: Contents Development for High-Performance Computing Education Services (2016-2018)
National Natural Science Foundation of China General Project: Research on the Key Technologies of Big Data Transfer (2016-2019);
National Natural Science Foundation of China Key Project: High Efficient Storage and Management for Big Data (2015-2019);
National Natural Science Foundation of China General Project: Research on the Key Technologies of HPC-oriented Platform Virtualization (2012-2015).
Research Status
My research has mainly focused on cloud computing, big data storage and processing in recent years, with the following results achieved:
1. For cloud computing, targeting issues with cluster such as monotonous usage mode, limited application types support, and management complexity, I put forward a new virtualization model for multiple computing resources, which can support customization and auto deployment at the levels of hardware, operating system and applications, and developed a virtual computing system accordingly. In addition, I proposed a deduplication-based virtual machine (VM) image storage and transfer method that can both reduce space consumption and boost image distribution, and presented an approach for fast live cross-datacenter VM migration.
2. For big data storage, I devised a method to combine SSD (solid state drive) and HDD (hard disk drive) to meet the requirements of big data processing and showed how to use it to accelerate MapReduce execution. Also, I studied the issues of cloud-based data storage and sharing, and co-developed MeePo, a high available cloud storage system that had been applied to China Unicom Guangdong Branch, Huawei, ZTE, CNPC, Chinese Academy of Sciences, Peking University and so on, serving more than 1.5 million registered users and 6000 enrolled communities in total, and that won the State Technological Invention Award, 2nd class in 2015.
3. For big data processing, to deal with MapReduce performance degradation on heterogeneous clusters, I put forward ActCap, a method that reduces inter-node data transfer (key cause of performance degradation) by node-capability-aware data placement; to improve MapReduce with skewed input data, I devised Skew--, a coordinated systematic solution that adopts complexity-aware keys assignment, a post-Map keys allocation scheme taking into account not only the number of keys, but also the Reduce task complexity and the key group size to balance the loads among Reducers, and other data locality and resource scheduling enhanced mechanisms to guarantee the benefit of post-Map keys allocation. ActCap can gain an average speedup of 49.8% over standard Hadoop YARN and 9.8% over Tarazu, whereas Skew-- can get an average speedup of 1.98x over standard Hadoop YARN, and 1.63x, 1.77x, and 1.41x (Reduce phase only) over SkewTune, Online Balancer, and TopCluster respectively.
Honors and Awards
Science and Technology Progress Award, 1st Class: Key Technologies of High-Reliable Storage System and Industrialization (2020);
Science and Technology Progress Award, Special Class: Key Technologies of Apsara Cloud Operating System and Industrialization (2017);
State Technological Invention Award, 2nd Class: High Available Cloud Storage System Oriented to Community Data Sharing (2015);
Alexander von Humboldt Foundation: Research Fellowship (2006);
First China Symposium on Web Semantics and Ontology: Best Paper Award (2006);
Tsinghua University: Outstanding Ph.D. Dissertation Award (2004);
Chinese Journal of Software: 100 Best Reviewers (2004).
Academic Achievement
[1] Mingxing Zhang, Teng Ma, Jinqi Hua, Zheng Liu, Kang Chen, Ning Ding, Fan Du, Jinlei Jiang, Tao Ma, Yongwei Wu. Partial Failure Resilient Memory Management System for (CXL-based) Distributed Shared Memory. SOSP 2023: 658-674
[2] Shuke Wang, Mingxing Zhang, Ke Yang, Kang Chen, Shaonan Ma, Jinlei Jiang, Yongwei Wu. NosWalker: A Decoupled Architecture for Out-of-Core Random Walk Processing. ASPLOS (3) 2023: 466-482
[3] Chengying Huan, Hang Liu, Mengxing Liu, Yongchao Liu, Changhua He, Kang Chen, Jinlei Jiang, Yongwei Wu, Shuaiwen Leon Song. TeGraph: A Novel General-Purpose Temporal Graph Computing Engine. ICDE 2022: 578-592
[4] Bo Wang, Zhenyu Hou, Yangyu Tao, Yifeng Lu, Chao Li, Tao Guan, Jinlei Jiang. Swift: Reliable and Low-Latency Data Processing at Cloud Scale. ICDE 2021: 2387-2398
[5] Dongbiao He, Jinlei Jiang, Teng Ma, Guangwen Yang, Cédric Westphal, J. J. Garcia-Luna-Aceves, Shu-Tao Xia. CUBIST: High-Quality 360-Degree Video Streaming Services via Tile-based Edge Caching and FoV-Adaptive Prefetching. ICWS 2021: 208-218
[6] Liandeng Li, Jiarui Fang, Jinlei Jiang, Lin Gan, Weijie Zheng, Haohuan Fu, Guangwen Yang. Efficient AES implementation on Sunway TaihuLight supercomputer: A systematic approach. Journal of Parallel and Distributed Computing, 2020, 138: 178-189
[7] Bo Wang, Jinlei Jiang, Yongwei Wu, Guangwen Yang, Keqin Li. Accelerating MapReduce on Commodity Clusters: An SSD-Empowered Approach. IEEE Transactions on Big Data, 2018, 4(3): 396-407
[8] Zuo-Ning Chen, Kang Chen, Jin-Lei Jiang, Lu-Fei Zhang, Song Wu, Zheng-Wei Qi, Chun-Ming Hu, Yong-Wei Wu, Yu-Zhong Sun, Hong Tang, Ao-Bing Sun, Zi-Lu Kang. Evolution of Cloud Operating System: From Technology to Ecosystem. Journal of Computer Science and Technology, 2017, 32(2): 224-241
[9] Bo Wang, Jinlei Jiang and Guangwen Yang. ActCap: Accelerating MapReduce on Heterogeneous Clusters with Capability-Aware Data Placement. IEEE INFOCOM 2015, 1328-1336
[10] Xun ZHAO, Yang ZHANG, Yongwei WU, Kang CHEN, Jinlei JIANG, Keqin LI, Liquid: A Scalable Deduplication File System for Virtual Machine Images. IEEE Transactions on Parallel and Distributed Systems, 2014, 25(5): 1257-1266
