複製鏈接
請複製以下鏈接發送給好友

曾令仿

鎖定
曾令仿,之江實驗室研究員,博士生導師。入選“浙江省‘萬人計劃’科技創新領軍人才” [5]  。2006年博士畢業於華中科技大學並留校任教直至2020年5月加入之江。曾為華中科技大學武漢光電國家研究中心、計算機學院副教授(2009年2月-2020年4月),新加坡國立大學博士後研究員(2007年6月–2008年8月,2010年11月–2013年7月),德國美因茨大學數據中心Visiting Professor(2016年5月–2018年5月)。CCF第十三屆理事會理事 [8]  ,CCF第十三屆會員代表 [9]  ,CCF傑出會員(2021) [6]  ,CFF傑出演講者(2019) [7]  ,CCF CNCC2018、CNCC2019、CNCC2020、CNCC2021技術論壇主席或共同主席。CCF杭州分部執行委員,CCF開源發展委員會執行委員,CCF高性能計算專業委員會執行委員,CCF信息存儲專業委員會執行委員。IEEE Transactions on Parallel and Distributed Systems評審委員會成員,Journal of High-PerformanceStorage編委。
中文名
曾令仿
國    籍
中國
民    族
畢業院校
華中科技大學

曾令仿人物經歷

2006年5月畢業於華中科技大學,獲工學博士學位。博士畢業後,曾任上市公司華工科技子公司海恆信息存儲有限責任公司研發部經理,負責磁盤陣列、備份軟件等信息存儲相關的軟硬研發;曾在新加坡國立大學(National University of Singapore)和新加坡數據存儲研究院(Data Storage Institute, A*STAR)從事4年的研究工作,主要針對大型分佈式流媒體服務器優化(基於Lustre)對象存儲系統,兼顧成本、性能和安全將大型workflow部署於高性能計算系統或者雲計算數據中心;曾被德國美因茨大學聘任兩年Visiting Professor,主要工作是Intel® Parallel Computing Centers for Lustre (IPCC-L)項目和超級計算機Mogon II性能優化。 [1-2] 

曾令仿研究方向

計算機體系結構相關的,(1)高性能存儲:存儲控制與存儲芯片,存算一體芯片,固態盤,面向新型存儲器件的文件系統,Lustre集羣文件系統,新型索引結構與鍵值存儲系統,存儲可靠編解碼和數據縮減等方向;(2)大數據與計算智能:System for AI, AI for System,特別是異構、數據/內存密集型環境中為AI、大數據和雲計算設計和開發特定領域芯片、編譯器及工具鏈、中間件等;(3)隱私增強信息存儲:數據安全刪除、不經意隨機存取技術(ORAM)、區塊鏈及其應用創新等方向。研究生涯早期曾開發盤陣(RAID)、地理信息系統(GIS)、備份軟件、快照軟件、磁帶文件系統。

曾令仿主要貢獻

作為主要負責人,構建的“基於高性能人工智能訓練芯片的智算集羣”,獲2022年世界互聯網大會領先科技成果發佈 [10-13]  。參與開發的“通信網絡地理信息系統”現應用於海口電信、深圳電信、武漢電信等中國電信的100多個城市的電信分公司。同Intel、DDN等公司密切合作提升開源分佈式文件系統Lustre服務質量及性能。

曾令仿科研項目

主持國家自然科學基金1項,主持企業合作項目多項,作為骨幹參與兩項“973”項目、兩項“863”項目、國家支撐計劃、國防預研項目、電子信息產業發展基金等10餘項重要項目,近兩年項目執行經費過億元。在中國計算機協會(CCF)推薦的A類國際期刊和會議,如TC,TPDS, ToS, FAST, SC,SIGMOD等發表多篇論文,出版專著一部,授權發明專利30多項(含1項PCT專利),軟件著作權10多項,行業標準2項 [5] 

曾令仿研究論文

專著:
1、馮丹,曾令仿. 信息存儲技術專利數據分析.知識產權出版社. ISBN 978-7-5130-3806-5, 2016年1月.
2、Lingfang Zeng, Bharadwaj Veeravalli, andYang Wang. Cloud Data Management. Encyclopedia of Cloud Computing, edited by bySan Murugesan and Irena Bojanova, Publisher: Wiley; 1 edition, ISBN:978-1-118-82197-8, February 29, 2016.
3、Bharadwaj Veeravalli, Lingfang Zeng, and Xiaorong Li. On theDesign of a Budget Conscious Adaptive Scheduler for Handling Large-ScaleMany-task Workflow Applications in Clouds. Large Scale Network-centricComputing Systems, edited by Albert Y. Zomaya and Hamid Sarbazi-Azad,Wiley-IEEE Computer Society Press, ISBN: 978-0-470-93688-7, December 2013.
文章
1、會議文章
(1)Yingjin Qian, Xi Li, Shuichi Ihara, Andreas Dilger,Carlos Thomaz, Shilong Wang, Wen Cheng, Chunyan Li, Lingfang Zeng, Fang Wang, Dan Feng, Tim Süß, and André Brinkmann.LPCC: Hierarchical Persistent Client Caching for Lustre. Proc. of theInternational Conference for High Performance Computing, Networking, Storageand Analysis (SC). Denver, Colorado. November 17-22, 2019. (CCF A, 通訊作者)
(2)Markus Mäsker, Tim Süß, Lars Nagel, Lingfang Zeng, and André Brinkmann,Hyperion: Building the Largest In-memory Search Tree. Proc. of theInternational Conference on Management of Data (SIGMOD), pp.1207-1222,Amsterdam, Netherlands, June 30-July 05, 2019. (CCF A, 通訊作者)
(3)Lingfang Zeng, Wei Shi, Fan Ni, Song Jiang, Xiaopeng Fan,Chengzhong Xu, and Yang Wang. SHAstor:A Scalable HDFS-based Storage Framework for Small-Write Efficiency in PervasiveComputing. Proc. of the IEEE 2018 Ubiquitous Intelligence and Computingconference (UIC). October 8-12, 2018. (Best Paper Award)
(4)Yingjin Qian, Xi Li, Shuichi Ihara, Lingfang Zeng, Jürgen Kaiser, Tim Süß,and André Brinkmann. 2017. A Configurable Rule based Classful Token Bucket Filter Network Request Schedulerfor the Lustre File System. In Proceedings of SC17. ACM, New York, NY,USA, 12 pages. (CCF A, 通訊作者)
(5)Yawar Bangash, Lingfang Zeng, Shijun Deng, Dan Feng. Skin-Node Location Privacy in WSNs via SDN Approach. Proc. of the 11th IEEE International Conference on Networking,Architecture, and Storage, pp.1-10, 2016. (Best Paper Nominee, 通訊作者)
(6)Wenguo Liu, Lingfang Zeng, Dan Feng. Apas: an Application Aware Hybrid StorageSystem combining SSDs and SWDs. Proc. of the 11th IEEE InternationalConference on Networking, Architecture, and Storage, pp.1-4, 2016.
(7)Linjun Mei, Dan Feng, Lingfang Zeng, Jianxi Chen, JingningLiu. A Stripe-Oriented WritePerformance Optimization for RAID-Structured Storage Systems. Proc. of the 11th IEEEInternational Conference on Networking, Architecture, and Storage, pp.1-10,2016.
(8)Lingfang Zeng, Binbing Hou, Dan Feng, Kenneth B. Kent. SJM: an SCM-based Journaling Mechanism withWrite Reduction for File Systems. Proc. of theInternational Workshop on Data-Intensive Scalable Computing Systems (DISCS,held in conjunction with SC15), Austin TX, USA, 2015.
(9)Yawar Bangash, Lingfang Zeng, Dan Feng. MimiBS: Mimicking Base-Station to ProvideLocation Privacy Protection in Wireless Sensor Networks. Proc. of the10th IEEE International Conference on Networking, Architecture and Storage(NAS), pp.158-166, 2015.
(10)Lingfang Zeng, Yang Wang, Dan Feng. CloudSky: A Controllable Data Self-Destruction Systemfor Untrusted Cloud Storage Networks. Proc. of the 15th IEEE/ACMInternational Symposium on Cluster, Cloud and Grid Computing (CCGrid),pp.352-361, 2015.
(11)Lingfang Zeng, Shijie Xu, Yang Wang, Xiang Cui, Tan Wee Kiat,David Bremner, Kenneth B. Kent. Monetary-and-QoSAware Replica Placements in Cloud-Based Storage Systems. Proc. of theIEEE 6th International Conference on Cloud Computing Technology and Science(CloudCom), pp.672-675, February 2014.
(12)Wenguo Liu, Dan Feng, Lingfang Zeng, Jianxi Chen. Understanding the SWD-based RAID System. Proc. of InternationalConference on Cloud Computing and Big Data (CCBD), pp.175-181, 2014.
(13)Lingfang Zeng, Yang Wang, Wei Shi, Dan Feng. AnImproved Xen Credit Scheduler for I/O Latency-Sensitive Applications on Multicores. Proc. of theInternational Conference on Cloud Computing and Big Data (CloudCom-Asia),December 16-19, 2013.
(14)Yang Wang, Wei Shi and Lingfang Zeng. AdaptiveSearch-based Service Migration with Virtual Moves in Clouds for Mobile Accesses. Proc. of the 6thIEEE/ACM International Conference on Utility and Cloud Computing (UCC),Dresden, Germany, December 9-12, 2013.
(15)Lingfang Zeng, Dan Feng, Bo Mao, Jianxi Chen, Qingsong Wei,Wenguo Liu. HerpRap:A Hybrid Array Architecture Providing Any Point-in-time Data Tracking forDatacenter. Proc. of the IEEE International Conference on Cluster Computing(CLUSTER), pp.311-319, 2012.
(16)Lingfang Zeng, Dan Feng,Jianxi Chen, Qingsong Wei, Bharadwaj Veeravalli, Wenguo Liu. HRAID6ML:A Hybrid RAID6 Storage Architecture with Mirrored Logging. Proc. of the28th IEEE Conference on Massive Data Storage (MSST), April 16-20, PacificGrove, CA, 2012. (CCF B)
(17)Lingfang Zeng, BharadwajVeeravalli, Xiaorong Li. ScaleStar: Budget Conscious SchedulingPrecedence-Constrained Many-task Workflow Applications in Cloud. Proc.of the 26th IEEE International Conference on Advanced Information Networkingand Applications (AINA), pp.534-541, Fukuoka, Japan, March 26-29, 2012.
2、期刊文章
(1)Suzhen Wu, Chunfeng Du, Weidong Zhu, Jindong Zhou, Hong Jiang, Bo Mao, Lingfang Zeng. EaD: ECC-assisted Deduplication with High Performance and Low Memory Overhead for Ultra-Low Latency Flash Storage. IEEE Transactions on Computers. June 2022. (CCF A, SCI)
(2)Wen Cheng, Mi Luo, Lingfang Zeng, Yang Wang, André Brinkmann. Lifespan-based Garbage Collection to Improve SSD's Reliability and Performance. Journal of Parallel and Distributed Computing, June 2022. (CCF B, SCI, 通訊作者)
(3)Lanxiang Chen, Qingxiao Fu, Yi Mu, Lingfang Zeng, Fatemeh Rezaeibagha, and Min-Shiang Hwang. Blockchain-based random auditor committee for integrity verification. Future Generation Computer Systems. Volume 131, Pages 183-193, June 2022. (SCI)
(4)Lanxiang Chen, Yujie Xue, Yi Mu, Lingfang Zeng, Fatemeh Rezaeibagha, and Robert Deng. CASE-SSE: Context-aware Semantically Extensible Searchable Symmetric Encryption for Encrypted Cloud Data. IEEE Transactions on Services Computing. 25 March 2022. (CCF B, SCI)
(5)Wen Cheng, Shijun Deng, Lingfang Zeng, Yang Wang, André Brinkmann. AIOC2: A Deep Q-learning Approach to Autonomic I/O Congestion Control in Lustre. Parallel Computing, Volume 108, September 2021. (CCF B, SCI, 通訊作者)
(6)Wen Cheng, Chunyan Li, Lingfang Zeng, Yingjin Qian, Xi Li, André Brinkmann. NVMM-oriented Hierarchical Persistent Client Caching for Lustre. ACM Transactions on Storage. January 2021. (CCF A, SCI, 通訊作者)
(7)Wen Cheng, Yuqi Zou, Lingfang Zeng, Yang Wang, Hercules: Intelligent Coupling of Dual-Mode Flash Memory and Hard Disk Drive, The Computer Journal, Volume 64, Issue 2, pp. 224–235, February 2021. (CCF B, SCI, 通訊作者)
(8)Wen Cheng, Tao Guo, Lingfang Zeng, Yang Wang, Lars Nagel, Tim Süß, André Brinkmann. ImprovingLSM-trie Performance by Parallel Search. Software: Practice andExperience. 2020. (CCF B, SCI, 通訊作者)
(9)Wen Cheng, Ran Cai, Lingfang Zeng, Dan Feng, Andre Brinkmann, Yang Wang. IMCI:an efficient fingerprint retrieval approach based on 3D stacked memory.SCIENCE CHINA Information Sciences, 2020, 63(7): 179101. (CCF B, SCI, 通訊作者)
(10)Wenguo Liu, Lingfang Zeng, Dan Feng, and Kenneth B.Kent. ROCO: Using a Solid StateDrive Cache to Improve the Performance of a Host-Aware Shingled MagneticRecording Drive.Journal of Computer Science and Technology, Vol. 34, Issue 1, pp.61-76, 2019. (CCF B, SCI, 通訊作者)
(11)Jiahao Liu, Fang Wang, Lingfang Zeng, Dan Feng, Tingwei Zhu. SDFS: A Software-Defined File System forMulti-Tenant Cloud Storage. Software: Practice and Experience, October 2018. (accepted) (CCF B, SCI, 通訊作者)
(12)Lingfang Zeng, Zehao Zhang, Yang Wang, Dan Feng, Kenneth B.Kent. CosaFS: A CooperativeShingle-aware File System.ACM Transactions on Storage, Volume 13 Issue 4, pp.1-23, December 2017. (CCF A, SCI)
(13)LingfangZeng, Yang Wang, XiaopengFan, and Chengzhong Xu. Raccoon: A Novel Network I/O AllocationFramework for Workload-Aware VM Scheduling in Virtual Environments.IEEE Transactions on Parallel and Distributed Systems, Volume 28, Issue 9,pp.2651-2662, September 2017. (CCF A,SCI)
(14)Lingfang Zeng, Yang Wang, Ziliang Xiao, Kenneth B. Kent. Naplus: A Software Distributed SharedMemory for Virtual Clusters in the Cloud. Software: Practice and Experience, pp.1201-1220,Volume 47, Issue 9, September 2017. (CCF B, SCI)
(15)Lingfang Zeng, Shijie Xu,Yang Wang, Kenneth B. Kent, DavidBremner, Chengzhong Xu. Toward cost-effective replica placements in cloud storage systems with QoS-awareness. Software: Practice and Experience, Volume47, Issue 6, pp.813-829, June, 2017. (CCF B, SCI)
(16)Lingfang Zeng, Shijie Xu, Yang Wang. VMBackup: an efficient framework for onlinevirtual machine image backup and recovery. Concurrency and Computation: Practice andExperience, 28(9): 2630-2643, 2016. (SCI)
(17)Lingfang Zeng, Yang Wang, Dan Feng, and Kenneth B. Kent. XCollOpts: A Novel Improvement of NetworkVirtualization in Xen for I/O-Latency Sensitive Applications on Multicores. IEEE Transactions on Network and ServiceManagement, Vol 12, Issue 2, pp.163-175, 2015. (SCI)
(18)Lingfang Zeng, Bharadwaj Veeravalli, Albert Y. Zomaya. AnIntegrated Task Computation and Data Management Scheduling Strategy forWorkflow Applications in Cloud Environments. Journal of Network and Computer Applications,Vol.50, Issue 4, pp.39-48, April 2015. (SCI)
(19)LingfangZeng, Chao Jin, BharadwajVeeravalli, Dan Feng. HR6TAP: A Hybrid RAID6 Storage ArchitectureTracking Data to Any Point-in-time for Enterprise Applications. Journal of Information Science andEngineering, Vol.31, Issue 2, pp. 547-572, 2015. (SCI)
(20)LingfangZeng, BharadwajVeeravalli, Xiaorong Li. SABA: A Security-Aware and Budget-Aware Workflow Scheduling Strategy in Clouds. Journalof Parallel and Distributed Computing, Vol.75, Issue 1, pp.141-151, January2015. (CCF B, SCI)
(21)Lingfang Zeng, Bharadwaj Veeravalli, Qingsong Wei. Space4time: Optimization Latency-SensitiveContent Service in Cloud.Journal of Network and ComputerApplications, Vol. 41, Issue 5, pp.358-368, May 2014. (SCI)
(22)LingfangZeng, Yang Wang. Optimizationon Content Service with Local Search in Cloud of Clouds. Journal of Network and Computer Applications, Vol.40, Issue 4,pp.206-215, April 2014. (SCI)
(23)Lingfang Zeng, Shibin Chen, Qingsong Wei,Dan Feng. SeDas: A Self-destructing Data System basedon Active Storage Framework. IEEE Transactions on Magnetics, Vol. 49, No. 6, pp.2548-2554, June2013. (SCI)
(24)Qingsong Wei, LingfangZeng, Jianxi Chen, and Cheng Chen. A Popularity-Aware Buffer Management to Improve BufferHit Ratio and Write Sequentiality for Solid State Drive. IEEE Transactions on Magnetics, Vol. 49, Issue 6, pp.2786-2793, June2013. (SCI)
(25)Lingfang Zeng, Bharadwaj Veeravalli,Qingsong Wei, and Dan Feng. SeWDReSS:On the Design of an Application Independent, Secure, Wide-area DisasterRecovery Storage System.Multimedia tools and applications. Vol. 58, Issue 3, pp.543-568, 2012. (SCI)

曾令仿獲獎記錄

2006年,作為骨幹構建的系統:“HUSt-A Heterogeneous Unified Storage System for GIS Grid”,參加由ACM/IEEE舉辦的Super Computing 2006 高性能存儲挑戰競賽,並被選中(全球僅有四個項目入選,另外三家入選單位為美國能源部 Ames Lab、Sandia National Lab和日本University of Tsukuba),獲Finalist Award,排名第一 [3]  。2011年,參與研製的“基於主動對象的海量存儲系統與技術” [4]  ,獲湖北省技術發明一等獎,排名第四。榮獲2002年“中國石油獎學金”,榮獲2002年第三屆“挑戰杯”天堂硅谷中國大學生創業計劃競賽銅獎(項目發起者、負責人)。
參考資料
展開全部 收起