I am a professor in Computer School, Huazhong University of Science and Technology, where I work with members of the system group in SCTS/CGCL. Meantime, I am served as the Vice Dean of Computer School, and the Director of Parallel and Distributed Computing Institute, with the research interests about cloud computing, system virtualization, datacenter management, storage system, in-memory computing and so on. I received a Ph.D degree in computer science from Huazhong University of Science and Technology in 2003.

I am currently looking for self-motivated students with good background on systems related area. Drop me an E-mail if you have interests to work with me.

1) Containers and light-weight virtualization

• Zhuo Huang, Qi Zhang, Hao Fan, Weibin Xue, Song Wu, Chen Yu , Hai Jin , Jun Deng, Jing Gu, Zhimin Tan, "Multi-grained Trace Collection, Analysis, and Management of Diverse Container Images", to appear in IEEE Transactions on Computers [new]
• Kun WANG, Song WU, Yanxiang CUI, Zhuo HUANG, Hao FAN, Hai JIN, "System Log Isolation for Containers", to appear in Frontiers of Computer Science, doi: 10.1007/s11704-024-2568-8 [new]
• Fan, Hao and Ye, Yiliang and Ibrahim, Shadi and Huang, Zhuo and Li, Xingru and Xue, Weibin and Song, Wu and Yu, Chen and Shi, Xuanhua and Jin, Hai, "QoS-pro: A QoS-enhanced Transaction Processing Framework for Shared SSDs", in ACM Trans. Archit. Code Optim, 21, 1, Article 6 (March 2024), 25 pages [new]
• Hang Huang, Jiangshan Lai, Jia Rao, Hui Lu, Wenlong Hou, Hang Su, Quan Xu, Jiang Zhong, Jiahao Zeng, Xu Wang, Zhengyu He, Weidong Han, Jiang Liu, Tao Ma, and Song Wu, "PVM: Efficient Shadow Paging for Deploying Secure Containers in Cloud-native Environment", in Proceedings of the 29th Symposium on Operating Systems Principles (SOSP '23), New York, NY, USA, October 2023, pp. 515–530 [new]
• Kun WANG, Song Wu*, Shengbang LI, Zhuo HUANG, Hao FAN, Chen YU, Hai JIN, "Precise Control of Page Cache for Containers", in Frontiers of Computer Science, Vol.18, Issue 2, 13 Sep. 2023 [new]
• Hao Wu, Junxiao Deng, Hao Fan*, Shadi Ibrahim, Song Wu, Hai Jin, "QoS-Aware and Cost-Efficient Dynamic Resource Allocation for Serverless ML Workflows", in Proceedings of 2023 IEEE International Parallel and Distributed Processing Symposium (IPDPS 2023), St. Petersburg, FL, USA, May 15-19, 2023, pp. 886-896[new]
• Zhuo Huang, Hao Fan*, Chaoyi Cheng, Song Wu, Hai Jin, "Duo: Improving Data Sharing of Stateful Serverless Applications by Efficiently Caching Multi-Read Data", in Proceedings of 2023 IEEE International Parallel and Distributed Processing Symposium (IPDPS 2023), St. Petersburg, FL, USA, May 15-19, 2023, pp. 875-885[new]
• Hang Huang, Yuqing Zhao, Jia Rao*, Song Wu*, Hai Jin, Suo Kun, Lisong Pan, "Adapt Burstable Containers to Variable CPU Resources", in IEEE Transactions on Computers, Vol. 72, Issue 3, Pages: 614-626, 1 March 2023 (Preliminary version in HPDC’21)[new]
• Song Wu, Zhuo Huang, Pengfei Chen, Hao Fan, Shadi Ibrahim, Hai Jin, "Container-aware I/O Stack: Bridging the Gap between Container Storage Drivers and Solid State Devices", in Proceedings of the 18th ACM SIGPLAN/SIGOPS International Conference on Virtual Execution Environments (VEE 2022), March, 1, 2022, Virtual Event, Switzerland, pp.18-30
• Kun WANG, Song Wu*, Kun Suo, Yijie Liu, Hang Huang, Zhuo Huang, Hai Jin, "Characterizing and Optimizing Kernel Resource Isolation for Containers", in Future Generation Computer Systems, Vol. 141, Issue , Pages: 218-229, 1 November 2022
• Hang Huang, Jia Rao*, Song Wu*, Hai Jin, Hong Jiang, Hao Che, and Xiaofeng Wu, "Towards Exploiting CPU Elasticity via Efficient Thread Oversubscription", in Proceedings of the 30th International Symposium on High-Performance Parallel and Distributed Computing (HPDC 2021), June 21–25, 2021, Virtual Event, Sweden, USA, pp.215-226
• Song Wu, Zhiheng Tao, Hao Fan*, Zhuo Huang, Xinmin Zhang, Hai Jin, Chen Yu, and Chun Cao, "Container lifecycle-aware scheduling for serverless computing", Software: Practice and Experience. 2021;1–16
• Hao Fan, Shengwei Bian, Song Wu*, Song Jiang, Shadi Ibrahim, and Hai Jin, "Gear: Enable Efficient Container Storage and Deployment with a New Image Format", in Proceedings of the 2021 IEEE 41th International Conference on Distributed Computing Systems (ICDCS 2021), July 7-10, 2021, Virtual Washington DC, USA
• Shiqiang Zhang, Song Wu, Hao Fan*, Deqing Zou, and Hai Jin, "BED: A Block-Level Deduplication-Based Container Deployment Framework", in Proceedings of the 15th International Conference on Green, Pervasive, and Cloud Computing (GPC 2020), November 13–15, 2020, Xi'an, China, pp.504–518
• Zhuo Huang, Song Wu*, Song Jiang, and Hai Jin, "FastBuild: Accelerating Docker Image Building for Efficient Development and Deployment of Containers", in Proceedings of the 35th International Conference on Massive Storage Systems and Technology (MSST 2019), May 20-24, 2019, Santa Clara, CA, pp.28-37
• Hang Huang, Jia Rao*, Song Wu*, Hai Jin, Kun Suo, and Xiaofeng Wu, "Adaptive Resource Views for Containers", in Proceedings of the 28th International Symposium on High-Performance Parallel and Distributed Computing (HPDC 2019), June 24-28, 2019, Phoenix, Arizona, USA, pp.243-254
• Yong Zhao, Kuo Suo, Xiaofeng Wu, Jia Rao, Song Wu, Hai Jin, "Preemptive Multi-Queue Fair Queuing", in Proceedings of the 28th International Symposium on High-Performance Parallel and Distributed Computing (HPDC 2019), June 24-28, 2019, Phoenix, Arizona, USA, pp.147-158
• Hao Fan, Song Wu*, Shadi Ibrahim, Ximing Chen, Hai Jin, and Jiang Xiao, "NCQ-Aware I/O Scheduling for Conventional Solid State Drives", in Proceedings of 2019 IEEE International Parallel and Distributed Processing Symposium (IPDPS 2019), May 20-24, 2019, Rio de Janeiro, Brazil, pp.523-532
• Song Wu*, Chao Niu, Jia Rao, Hai Jin and Xiaohai Dai, "Container-Based Cloud Platform for Mobile Computation Offloading", in Proceedings of 2017 IEEE International Parallel and Distributed Processing Symposium (IPDPS), Orlando, FL, 29 May-2 June 2017, pp.123-132 (Source Code)
• Song Wu, Chao Mei, Hai Jin, Duoqiang Wang, "Android Unikernel: Gearing Mobile Code Offloading Towards Edge Computing", Future Generation Computer Systems, Volume 86, Pages 694–703, 2018 (Source Code)
• Jiahuan Hu, Song Wu*, Hai jin, and Hanhua Chen, "Container-Based Customization Approach for Mobile Environments on Clouds", in Proceedings of the 13th International Conference on Green, Pervasive and Cloud Computing (GPC 2018), Hangzhou, China, May 11-13, 2018, pp.155-169 (Source Code)
• Zuoning Chen, Kang Chen, Lufei Zhang, Jinlei Jiang, Song Wu, Zhengwei Qi, Chunming Hu, Yongwei Wu, Yuzhong Sun, Aobing Sun, Zilu Kang "The Evolution of Cloud Operating System: from Technology to Ecosystem", in Journal of Computer Science and Technology, 32(2): 224–241 Mar. 2017.
• Bowen Ruan, Hang Huang, Song Wu*, Hai Jin, "A Performance Study of Containers in Cloud Environment", in Proceedings of the 10th International Conference on Asia-Pacific Services Computing (APSCC 2016),Zhangjiajie, China, November 16-18, 2016, pp. 343-356

2) Hypervisor-based virtualization

2.1) Scheduling for parallel applications

• Hao Fan, Song Wu*, Xinyu Zhao, Zhenjiang Xie, Sheng Di, Jiang Xiao, Chen Yu, Hai Jin, "Accelerating Parallel Applications in Cloud Platforms via Adaptive Time-Slice Control", IEEE Transactions on Computers,Vol.70, Issue 7, Pages: 992-1005, Jul. 2022
• Song Wu*, Zhenjiang Xie, Haibao Chen, Sheng Di,Xinyu Zhao and Hai Jin, "Dynamic Acceleration of Parallel Applications in Cloud Platforms by Adaptive Time-Slice Control", in Proceedings of 2016 IEEE International Parallel and Distributed Processing Symposium (IPDPS 2016), Chicago, IL, USA, May 23-27, 2016, pp. 343-352
• Yaqiong Peng, Song Wu*, Hai Jin, "Robinhood:Towards Efficient Work-stealing in Virtualized Environments", IEEE Transactions on Parallel and Distributed Systems, Vol.27, No.8, 2016, pp.2363-2376 (Preliminary version in CCGrid 2014)
• Song Wu, Haibao Chen, Sheng Di, Bing Bing Zhou, ZhenjiangXie, Hai Jin, and Xuanhua Shi, "Synchronization-Aware Scheduling for Virtual Clusters in Cloud", IEEE Transactions on Parallel and Distributed Systems, Vol.26, No.10, 2015, pp.2890-2902 (Preliminary version in HPDC’14)
• Hai Jin, Hanfeng Qin, Song Wu, and Xuerong Guo," CCAP: A Cache Contention-Aware Virtual Machine Placement Approach for HPC Cloud", International Journal of Parallel Programming, Vol.43, No.3, June 2015, pp.403-420

2.2) Scheduling for real-time applications

• Song Wu, Like Zhou*, Xingjun Wang, Fei Chen, and Hai Jin, "Doris: An Adaptive Soft Real-Time Scheduler in Virtualized Environments", IEEE Transactions on Service Computing, Volume 13, Issue 5, Pages: 815-828, 2020
• Song Wu, Like Zhou*, Huahua Sun, Hai Jin, XuanhuaShi, "Poris: A Scheduler for Parallel Soft Real-Time Applications in Virtualized Environments", IEEE Transactions on Parallel and Distributed Systems, Vol.27, No.3, 2016, pp.841-854 (Preliminary version in MASCOTS 2013)
• Song Wu, Like Zhou, Danqing Fu, Hai Jin, and Xuanhua Shi, "Risa: A Real-time Scheduling Framework Based on Multi-core Dynamic Partitioning in Virtualized Environment", in Proceedings of 11th IFIP International Conference on Network and Parallel Computing (NPC 2014), Ilan, Taiwan, September 18-20, 2014, pp.195-207
• Like Zhou, Song Wu*, Xuanhua Shi, Hai Jin, Jiangfu Zhou, "Guaranteeing QoS of Media-Based Applications in Virtualized Environment", New Review of Hypermedia and Multimedia, 19(3-4), 217-233, 2013

2.3) Architecture-driven scheduling

• Song Wu, Huahua Sun, Like Zhou, Qingtian Gan, and Hai Jin, "vProbe: Scheduling Virtual Machines on NUMA Systems", in Proceedings of the 18th IEEE Conference on Cluster Computing (Cluster 2016), Sep 12-16,2016, Taipei, Taiwan
• Zhong Alin, Jin Hai, Song Wu, Shi, Xuanhua, Gao Wei, "Performance implications of non-uniform VCPU-PCPU mapping in virtualization environment", Cluster Computing, 16(3): 347-358, 2012

2.4) Storage

• Song Wu, Yihong Wang, Wei Luo, Sheng Di, Haibao Chen, Xiaolin Xu, Ran Zheng, Hai Jin, "ACStor: Optimizing Access Performance of Virtual Disk Images in Clouds", IEEE Transactions on Parallel and Distributed Systems , Vol. 28, No. 9, September 2017, pp. 2414-2427 (Source Code)
• Xiao Ling, Shadi Ibrahim, Song Wu*, and Hai Jin, "Spatial Locality Aware Disk Scheduling in Virtualized Environment", IEEE Transactions on Parallel and Distributed Systems , Vol.26, No.9, September 2015, pp.2571-2585 (Preliminary version in MASCOTS 2013)
• Song Wu, Songqiao Tao, Xiao Ling, Hao Fan, Hai Jin, Shadi Ibrahim, "iShare: Balancing I/O Performance Isolation and Disk I/O Efficiency in Virtualized Environments", Concurrency and Computation:Practice and Experience, Vol.28, No. 2, 2016, pp. 386-399
• Xiaolin Xu, Hai Jin, Song Wu*, Yihong Wang, "Rethink the Storage of Virtual Machine Images in Clouds", Future Generation Computer Systems, Volume 50, September 2015, Pages 75–86
• Hai Jin, Xiao Ling, Shadi Ibrahim, Wenzhi Cao, Song Wu*, Gabriel Antoniu, "Flubber: Two-level Disk Scheduling in Virtualized Environment", Future Generation Computer Systems, Vol. 29, No. 8, pp. 2222-2238, 2013 (Preliminary version in CCGrid 2012)

2.5) Live migration

• Hai Jin, Li Deng, Song Wu*, Xuanhua Shi, Huacai Chen, Xiaodong Pan, "MECOM: Live migration of virtual machines by adaptively compressing memory pages", Future Generation Computer Systems, 38: 23-35(2014) (Preliminary version in Cluster’09)
• Hai Jin, Wei Gao, Song Wu*, Xuanhua Shi, Xiaoxin Wu, and Fan Zhou, "Optimizing the Live Migration of Virtual Machine by CPU Scheduling", Journal of Network and Computer Applications, Vol.34, No.4,pp.1088-1096 (2011)

2.6) Others

• Song Wu, Yongchang Li, Xinhou Wang, Hai Jin, Hanhua Chen, "Vshadow: Promoting Physical Servers into Virtualization World", International Journal of Parallel Programming, February 2017, Volume 45, Issue 1, pp.45–66
• Qingtian Gan, Song Wu*, Hai Jin, Kun Wang "vScope: A Fine-Grained Approach to Schedule vCPUs in NUMA Systems", in Proceedings of 2017 IEEE 19th International Conference on High Performance Computing and Communications (HPCC 2017), Thailand, December, 2017, pp. 531-538
• Yunjie Du, Xuanhua Shi, Hai Jin, Song Wu, Laurence T. Yang, "FITDOC: fast virtual machines checkpointing with delta memory compression", The Journal of Supercomputing, 72(9): 3328-3347(2016)
• Hai Jin, Wei Gao, Song Wu*, Xuanhua Shi, "VRAS: A Lightweight Local Resource Allocation System for Virtual Machine Monitor", Wireless Personal Communications, 73(4): 1513-1528, 2013
• Wei Gao, Hai Jin, Song Wu*, Xuanhua Shi, Jinyan Yuan, "Effectively Deploying Service on Virtualization Infrastructure", Frontiers of Computer Science Volume 6, Number 4 (2012), 398-408
• Jin, Hai, Xiang Guofu, Zou, Deqing, Song Wu,Zhao, Feng, Li, Min, Zheng, Weide, "A VMM-based intrusion prevention system in cloud computing environment", Journal of Supercomputing, 66(3): 1133-1151 (2013)
• Hai Jin, Li Deng, Song Wu, Xuanhua Shi, "Dynamic Processor Resource Configuration in Virtualized Environments", in Proceedings of the 8th IEEE International Conference on Services Computing (SCC 2011),Washington, DC, USA, July 4-9, 2011, pp. 32-39
• Minjia Zhang, Hai Jin, Song Wu, Xuanhua Shi, "VirtCFT: A Transparent VM-level Fault-Tolerant System for Virtual Clusters", in Proc. of IEEE 16th International Conference on Parallel and Distributed Systems (ICPADS 2010),Dec 8-10, 2010, Shanghai, China, pp.147-154

3) Cloud, edge, datacenter

• Hai Jin, Ruikun Luo, Qiang He, Song Wu, Zilai Zeng, Xiaoyu Xia, "Cost-Effective Data Placement in Edge Storage Systems with Erasure Code", in IEEE Transactions on Services Computing,vol. 72, no. 9, pp. 2496-2507, 1 Sept. 2023[new]
• Ruikun Luo, Hai Jin, Qiang He, Song Wu, Xiaoyu Xia, "Enabling Balanced Data Deduplication in Mobile Edge Computing", in IEEE Transactions on Parallel and Distributed Systems,vol. 34, no. 5, pp. 1420-1431, May 2023[new]
• Ruikun Luo, Hai Jin*, Qiang He, Song Wu, Xiaoyu Xia, "Cost-Effective Edge Server Network Design in Mobile Edge Computing Environment", in IEEE Transactions on Sustainable Computing,Vol.7, Issue 4, Pages: 839-850, OCTOBER-DECEMBER 2022
• Ruikun Luo, Hai Jin, Qiang He, Song Wu*, Zilai Zeng, Xiaoyu Xia, "Graph-based Data Deduplication in Mobile Edge Computing Environment", in Proceedings of The 19th International Conference on Service-Oriented Computing (ICSOC 2021),November, 22–25, 2021, Virtual Event, pp.499–515
• Song Wu, Yang Chen, Xinhou Wang*, Hai Jin, Fangming Liu, Haibao Chen, Chuxiong Yan, "Precise Power Capping for Latency-Sensitive Applications in Datacenter", IEEE Transactions on Sustainable Computing,Vol.6, Issue 3, Pages: 469-480, JULY-SEPTEMBER 2021
• Jiang Xiao, Zhuang Xiong, Song Wu*, Yusheng Yi, Hai Jin, and Kan Hu "Disk Failure Prediction in Data Centers via Online Learning", in Proceedings of the 47th International Conference on Parallel Processing (ICPP 2018), 35:1-35:10, Eugene, OR, USA, August 13-16, 2018
• Song Wu, Yusheng Yi, Jiang Xiao, Hai Jin, and Mao Ye, "A Large-Scale Study of I/O Workload’s Impact on Disk Failure", IEEE Access, Volume 6, Issue 1, On Page(s): 47385-47396, DECEMBER 2018
• Xinhou Wang, Kezhi Wang, Song Wu*, Sheng Di, Hai Jin, Kun Yang, Shumao Ou, "Dynamic Resource Scheduling in Mobile Edge Cloud with Cloud Radio Access Network", IEEE Transactions on Parallel and Distributed Systems, NOVEMBER 2018, Volume 29, Issue 11, Page(s): 2429-2445 (Preliminary version in IWQoS 2016)
• Xinhou Wang, Song Wu*, Kezhi Wang, Sheng Di, Hai Jin, Kun Yang, Shumao Ou, "Maximizing the Profit of Cloud Broker with Priority Aware Pricing", in Proceedings of 2017 IEEE 23rd International Conference on Parallel and Distributed Systems (ICPADS 2017), Shenzhen, China, December, 2017, pp.511-518
• Haibao Chen, Song Wu*, Hai Jin, Wenguang Chen, Jidong Zai, Yingwei Luo, Xiaolin Wang, "A Survey of Cloud Resource Management for Complex Engineering Applications", Frontiers of Computer Science,2016, Vol.10, No.3, 2016, pp. 447-461
• Hai Jin, Xinhou Wang, Song Wu*, Sheng Di, Xuanhua Shi, "Towards Optimized Fine-Grained Pricing of IaaS Cloud Platform", IEEE Transactions on Cloud Computing, Vol.3, No.4, October - December 2015, pp.436-448
• Song Wu, Chuxiong Yan, Haibao Chen, Hai Jin, Wei Guo, Zhen Wang, and Deqing Zou, "Evaluating Latency-Sensitive Applications’Performance Degradation in Datacenters with Restricted Power Budget", Proceedingsof the 44th International Conference on Parallel Processing (ICPP 2015), IEEE Computer Society, September 1-4 2015, Beijing, China, pp.639-648
• Song Wu, Qiong Tuo, Hai Jin, Chuxiong Yan, and Qizheng Weng, "HRF: A Resource Allocation Scheme for Moldable Jobs", Proceedings of the 12th ACM International Conference on Computing Frontiers (CF’15), ACM, May 18-21 2015, Ischia, Italy, pp.17:1-17:8
• Xiaolin Xu, Song Wu, Hai Jin, and Chuxiong Yan, "Fairly Sharing the Network for Multitier Applications in Clouds", International Journal of Web Services Research, Vol.12, No.4, 2015, pp.29-47
• Xiaolin Xu, Hai Jin, Song Wu, Xiaolong Wu, Yuan Li, "FAMA: A Middleware for Fast Deploying and Auto Scaling towards Multitier Applications in Clouds", Journal of Internet Technology, Vol. 16 No. 6,PP. 987-997, 11 2015
• Xuanhua Shi, Haohong Lin, Hai Jin, Bing Bing Zhou, Zuoning Yin, Sheng Di and Song Wu, "GIRAFFE: A Scalable Distributed Coordination Service for Large-scale Systems". Cluster 2014: pp.38-47(best paper nominee)

4) Parallel data processing

• Song Wu, Die Hu, Shadi Ibrahim, Hai Jin, Jiang Xiao, Fei Chen, and Haikun Liu. "When FPGA-accelerator meets Stream Data Processing in the Edge". in Proceedings of the 2019 IEEE 39th International Conference on Distributed Computing Systems (ICDCS 2019), July 7-10, 2019, Dallas, Texas, USA, pp.1818--1829
• Song Wu, Mi Liu, Shadi Ibrahim, Hai Jin, Lin Gu, Fei Chen, and Zhiyi Liu, "TurboStream: Towards Low-Latency Data Stream Processing", in Proceedings of 38th IEEE International Conference on Distributed Computing Systems (ICDCS’18), July 2018, Vienna, Austria, pp. 983-993
• Song Wu, Zhiyi Liu, Shadi Ibrahim, Lin Gu, Hai Jin, and Fei Chen, "Dual-Paradigm Stream Processing", in Proceedings of the 47th International Conference on Parallel Processing (ICPP’18), 83:1-83:10, Eugene, OR, USA, August 13-16, 2018
• Hai Jin, Fei Chen, Song Wu*, Yin Yao, Zhiyi Liu, Lin Gu, Yongluan Zhou, " Towards Low-Latency Batched Stream Processing by Pre-Scheduling", IEEE Transactions on Parallel and Distributed Systems, Volume 30, Issue 3, Pages: 710-722, March 2019, (Preliminary version in SoCC 2017) (Third-Party Project for Spark && Application Trace from Tencent)
• Fei Chen, Song Wu*, and Hai Jin, "Network-Aware Grouping in Distributed Stream Processing Systems", in Proceedings of 2018 International Conference on Algorithms and Architectures for Parallel Processing (ICA3PP’18), Lecture Notes in Computer Science, Vol. 11334, pp. 3-18, Springer
• Fei Chen, Song Wu*, Hai Jin, Liwei Lin, and Rui Li "Radar: Reducing Tail Latencies for Batched Stream Processing with Blank Scheduling", in Proceedings of the 20th IEEE International Conference on High Performance Computing and Communications (HPCC’18), 28-30 June 2018, pp. 797-804
• Song Wu, Xingjun Wang, Hai Jin, and Haibao Chen "Elastic Resource Provisioning for Batched Stream Processing System in Container Cloud", in Proceedings of APWeb 2017, LNCS 10366, pp. 411–426, 2017
• Xuanhua Shi, Ming Chen, Ligang He, Xu Xie, Lu Lu, Hai Jin, Yong Chen, Song Wu, "Mammoth: Gearing Hadoop Towards Memory-Intensive MapReduce Applications", IEEE Transactions on Parallel and Distributed Systems, 26(8): 2300-2315 (2015) (Spotlight Paper)
• Song Wu, Yaqiong Peng, Hai Jin, Jun Zhang, "Peacock: a customizable MapReduce for multicore platform", The Journal of Supercomputing, Volume 70, Issue 3 (2014), Page 1496-1513
• Lu Lu, Xuanhua Shi, Qiuyue Wang, Daxing Yuan, Song Wu, "Morpho: a Decoupled MapReduce Framework for Elastic Cloud Computing", Future Generation Computer Systems, 36: 80-90 (2014)
• Shadi Ibrahim, Hai Jin, Lu Lu, Bingsheng He, Gabriel Antoniu, Song Wu, "Handling partitioning skew in MapReduce using LEEN", Peer-to-Peer Network and Applications, 6(4): 409-424, 2013
• Shadi Ibrahim, Hai Jin, Lu Lu, Bingsheng He, Gabriel Antoniuy, Song Wu, "Maestro: Replica-Aware Map Scheduling for MapReduce", in Proc. of the 12th IEEE/ACM International Symposium on Cluster, Cloud and Grid Computing (CCGrid 2012), Ottawa, Canada, May 13-16,2012, pp. 435-442
• Shadi Ibrahim, Hai Jin, Lu Lu, Bingsheng He, Song Wu, "Adaptive Disk I/O scheduling for MapReduce in Virtualized Environment", in Proc. of the 40th International Conference on Parallel Processing (ICPP 2011), Taipei, Taiwan, September 13-16, 2011, pp. 335-344

5) Other architecture and system software issues

• Fang Zhou, Song Wu, Jianhui Yue, Hai Jin, Jianqiu Shen, "Object Fingerprint Cache for Heterogeneous Memory System", in IEEE Transactions on Computers, vol. 72, no. 9, pp. 2496-2507, 1 Sept. 2023
• Zhuohui Duan, Haodi Lu, Haikun Liu*, Xiaofei Liao, Hai Jin, Yu, Zhang, Song Wu, "Hardware-Supported Remote Persistence for Distributed Persistent Memory", in The International Conference for High Performance Computing, Networking, Storage and Analysis (SC 2021), November 14–19, 2021, St. Louis, MO, USA
• Song Wu, Fang Zhou, Xiang Gao, Hai Jin, Jinglei Ren, "Dual-Page Checkpointing: An Architectural Approach to Efficient Data Persistence for In-Memory Applications", ACM Transactions on Architecture and Code Optimization, 15(4)(2019), pp.57:1-57:27 (HiPEAC 2019, Jan 21-23, 2019, Valencia, Spain)
• Rodrigo Bruno, Paulo Ferreira, Ruslan Synytsky, Tetiana Fydorenchyk, Jia Rao, Hang Huang, and Song Wu "Dynamic Vertical Memory Scalability for OpenJDK Cloud Applications", in Proceedings of the 2018 International Symposium on Memory Management (ISMM 2018), 18-22 June 2018, Philadelphia, Pennsylvania, USA, pp. 59-70
• Song Wu, Yaqiong Peng, Hai Jin, "Time Donating Barrier for Efficient Task Scheduling in Competitive Multicore Systems", Future Generation Computer Systems, Volume 54, January 2016, Pages 469–477
• Long Zheng, Xiaofei Liao, Bingsheng He, Song Wu, and Hai Jin, "On Performance Debugging of Unnecessary Lock Contentions On Multicore Processors: A Replay-Based Approach", Proceedings of the 13th Annual IEEE/ACM International Symposium on Code Generation and Optimization (CGO’15), ACM, February 7-11 2015, San Francisco, CA, USA, pp.56-67
• Song Wu, Jun Zhang, Yaqiong Peng, Hai Jin,Wenbin Jiang, "Optimization Strategies for Inter-Thread Synchronization Overhead on NUMA Machine", Proceedings of the 34th IEEE International Performance Computing and Communications Conference (IPCCC 2015), IEEE Computer Society, December 13-15 2015, Nanjing, China
• Ran Zheng, Wei Wang, Hai Jin, Song Wu, Yong Chen, and Han Jiang, "GPU-based Multifrontal Optimizing Method in Sparse Cholesky Factorization", Proceedings of the 26th IEEE International Conference on Application-specific Systems, Architectures and Processors (ASAP 2015), IEEE Computer Society, July 27-29 2015, Toronto, ON, Canada, pp.90-97

6) Grid Computing

• Xuanhua Shi, Hai Jin, Song Wu, Wei Zhu, Li Qi, "Adapting Grid Computing Environments Dependable with Virtual Machines: Design,Implementation and Evaluations", Journal of Supercomputing, 66(3): 1152-1166 (2013)
• Cao Haijun, Jin Hai, Song Wu*, Ibrahim Shadi, "Petri net based Grid workflow verification and optimization", Journal of Supercomputing, 66(3): 1215-1230 (2013)
• Yongcai Tao, Hai Jin, Song Wu, Xuanhua Shi, Lei Shi, "Dependable Grid Workflow Scheduling Based on Resource Availability", Journal of Grid Computing, 11(1):47-61, 2013
• Hai Jin, Yaqin Luo, Li Qi, Jie Dai, and Song Wu, "Dependency-aware Maintenance for Highly Available Service-oriented Grid", Journal of Systems and Software, Vol.83, No.10, Elsevier Science, October 2010,pp.1983-1994
• Muzhou Xiong, Dan Chen, Hai Jin, and Song Wu, "Multi-Path Based Algorithms for Data Transfer in the Grid Environment", New Generation Computing, Ohmsha Ltd. And Springer, Vol.28, No.2, 2010,pp.129-136
• Yongcai Tao, Hai Jin, Song Wu, and Xuanhua Shi, "Scalable DHT- and Ontology-based Information Service for Large-scale Grids", Future Generation Computer Systems, Vol.26, No.5, Elsevier Science, May 2010,pp.729-739
• Haijun Cao, Hai Jin, Xiaoxin Wu, and Song Wu, "ServiceFlow: QoS-based Hybrid Service-Oriented Grid Workflow System", The Journal of Supercomputing, Springer Science and Business Media B.V., Vol.53, No.3,September 2010, pp.371-393
• Haijun Cao, Hai Jin, Xiaoxin Wu , Song Wu, Xuanhua Shi. "DAGMap: Efficient Scheduling for DAG Grid Workflow Job". in Proc.of the 9th IEEE/ACM International Conference on Grid Computing (Grid’08),Sept. 29 -Oct. 1, 2008 Page(s):17 – 24
• Hai Jin, Li Qi, Song Wu, Jie Dai, Yaqin Luo, "Dependency-aware Maintenance for Dynamic Service Grid", in Proc. Of the2007 International Conference on Parallel Processing (ICPP 2007), Sept. 2007 Page(s):64

• Resource Isolation Technology for Containers (No. 61872155), supported by National Science Foundation of China, PI
• Light-weight Virtualization on Domestic Servers (No. 2018YFB1003600), supported by National Key Research and Development Plan, Co-PI
• Cloud Operating System based on Containers (No. 2016YFB1000501), supported by National Key Research and Development Plan, PI
• Adaptive Resource Scheduling between Cloud and Smart Client (2015AA01A203), supported by National 863 Hi-Tech Research and Development Program, Co-PI
• I/O Scheduling for SCM in Virtualization Environment (No.61472151), supported by National Science Foundation of China, PI
• System Architecture and Software for Cloud Servers (No.2013AA01A208), supported by National 863 Hi-Tech Research and Development Program, Co-PI
• Fundmental Key Software for Cloud Platforms (No.2013AA01A213), supported by National 863 Hi-Tech Research and Development Program, Co-PI
• Cloud Resource Scheduling in Virtualized Environment (No. 61073024), supported by National Science Foundation of China, PI
• Resource Management Strategies for Virtualized Data Centers (No. 2011CDA086), supported by the Outstanding Youth Foundation of Hubei Province, PI
• Supporting HPC and Complex Engineering Applications in Clouds (No. 61232008), supported by National Science Foundation of China, Coordinator
• ChinaGrid Supporting Platform (CGSP), supported by Ministry of Education of China, Coordinator
• Mobile Cloud Computing: Networks, Services and Architecture (No.295222), supported by EU FP7, Member

• Cloud Computing (ACM Tech Pack on Cloud Computing), for Ph.D and master students
• Parallel Computing (ACM Tech Pack on Parallel Computing), for undergraduate students

• Important Conferences and Journals (CCF)
• Important Conferences List (CGCL)
• Advice on Research and Writing
• Parallel Programming Principle and Practice