Rong Gu
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Rong Gu(顾荣)

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Contact

Department of Computer Science and Technology
Nanjing University
163 Xianlin Avenue, Qixia District, Nanjing, Jiangsu 210023, China
Email: gurong[at]nju.edu.cn
Group: 先进网络与数据科学研究组

Short Biography

Knowing yourself is the beginning of all wisdom. –Aristotle

I am currently an assistant professor in the Department of Computer Science and Technology at Nanjing University. My research interests include Cloud and Big Data computing systems, efficient Cache/Index systems, Edge systems, etc. I have published over 60 papers in USENIX ATC, ICDE, WWW, INFOCOM, VLDBJ, IEEE TPDS, TKDE, TNET, TMC, IPDPS, ICPP, IWQoS, and published a monograph. I received the IEEE TCSC Award for Excellence in Scalable Computing (Early Career), IEEE HPCC 2022 Best Paper Award (first author), the first prize of Jiangsu Science and Technology Prize in 2018, Outstanding Alibaba Innovative Research Program Award in 2023, Tecent Cloud Valuable Professional (TVP) Award in 2021, the first place of the 30th SortBenchmark Competition CloudSort Track (Record Holder). My research results have been adopted by a number of well-known open source software such as Apache Spark, Alluxio, and leading IT/domain companies, including Alibaba, Baidu, Tencent, ByteDance, Huatai Securities, Intel, Sinopec, Weibo and so on. I am the community chair of the Fluid open source project (CNCF Sandbox project), a founding PMC member & maintainer of Alluxio (formly Tachyon) open source project. I am also the co-program chair of 15th IEEE iThings,the co-chair of 23rd ChinaSys, TPC member of SOSP’21/OSDI’22/USENIX ATC’22 Artifacts、AAAI’20、IEEE IPDPS’22.

Bio in Chinese(中文简介): 顾荣，南京大学特聘研究员，博士生导师，主要研究方向为云计算与大数据系统、高效缓存/索引系统、边缘计算系统等，目前在相关研究领域共发表论文60余篇，包括一流国际学术期刊和会议USENIX ATC, ICDE, WWW, INFOCOM, VLDBJ, IEEE TPDS, TKDE, TNET, TMC, IPDPS, ICPP, IWQoS, DASFAA等，出版学术专著2部，授权发明专利13项。主持国家自然科学基金面上项目/青年项目、国家重点研发计划子课题、中国博士后科学基金特别资助项目，以及中国石化、中国中车、华泰证券、华为、阿里巴巴、腾讯、中兴通讯、字节跳动等企业创新基金项目等10余项，研究成果落地于合作企业以及国际著名开源系统 Apache Spark、Alluxio，获江苏省科学技术一等奖、IEEE可扩展计算委员会杰出早期职业学者奖、IEEE HPCC会议最佳论文奖(第一作者)、阿里巴巴达摩院优秀学术合作项目奖（2023）、中国“互联网+”大学生创新创业大赛全国总决赛金奖/银奖（2019/2022）、腾讯云最具价值专家奖项、南京大学青年五四奖章、第30届国际计算机排序基准评估比赛CloudSort赛道第1名、ACM南京分会学术新星奖（2021，排名第1）、江苏省计算机学会青年科技奖，入选江苏省科协青年人才托举工程、中国尖峰开源人物（2021，中国信通院评选），担任中国计算机学会高级会员/分布式计算与系统专委执行委员/系统软件专委执行委员/大数据专委会通讯委员、中国通信学会高级会员/开源技术委员会委员、江苏省计算机学会青年工委副主任/大数据专委会秘书长、Fluid开源社区主席(Linux基金会旗下CNCF官方项目)、Alluxio开源项目管理委员会创始委员，担任Journal of System Architecture (CCF B类)专刊Leading Guest Editor，第15届IEEE iThings国际会议程序委员主席、第23届中国计算机系统研讨会(ChinaSys)大会联合主席、SOSP’21/OSDI’22/USENIX ATC’22 Artifacts、AAAI’20、IEEE IPDPS’22程序委员会委员。

We are recruiting PhD, Master and Undergraduate students. If interested, please feel free to drop me an email.

现招收研究生、以及南京大学本科生，我和工业界/学术界保持良好长期合作（多位同学去往阿里、腾讯、字节跳动、华为等合作企业就业或实习），对分布式并行计算系统，特别是云计算与大数据系统、高效缓存/索引、边缘计算系统方向感兴趣的同学，欢迎邮件直接与我联系(gurong[at]nju.edu.cn)。

Research

My research interests include

  • Big Data/Cloud Computing System

  • Efficient Cache/Index System

  • Edge Computing System

News

  • 04/2023 Our paper “Adaptive Online Cache Capacity Optimization via Lightweight Working Set Size Estimation at Scale” is accepted by USENIX ATC (CCF-A)!

  • 04/2023 Our paper “Seesaw Counting Filter: A Dynamic Filtering Framework for Vulnerable Negative Keys” is accepted by TKDE (CCF-A)!

  • 04/2023 I received “2023 Outstanding Alibaba Innovative Research Program Award” (获得阿里巴巴达摩院优秀学术合作项目奖)!

  • 03/2023 Our paper “Efficient Big Data Query System Parameter Optimization based on Pre-selection and Search Pruning Approach” is accepted by IEEE/ACM IWQoS 2023 (CCF-B)!

  • 02/2023 Our paper “Coral: Federated Query Join Order Optimization based on Deep Reinforcement Learning” is accepted by WWWJ (CCF-B)!

  • 01/2023 Our two papers about benchmarking cloud databases and entity linking have been accepted by DASFAA 2023 (CCF-B)!

  • 12/2022 Our paper “Efficient, Scalable and Robust Data Shuffle Service for Distributed MapReduce Computing on Cloud” received the Best Paper Award of the 24th IEEE HPCC (CCF-C), only two papers get the award out of 663 submissions!

  • 12/2022 Our paper “SAFE: Service Availability via Failure Elimination Through VNF Scaling” is accepted by IEEE/ACM TNET (CCF-A)!

  • 12/2022 I received “IEEE TCSC Award for Excellence in Scalable Computing (Early Career Researcher)” (获得 IEEE 可扩展计算委员会杰出早期职业学者奖)!

  • 12/2022 Our paper “Time and Cost-Efficient Cloud Data Transmission based on Serverless Computing Compression” is accepted by INFOCOM 2023 (CCF-A)!

  • 11/2022 Supervising students winning the silver prize of the 8th China International College Students’ 'Internet+’ Innovation and Entrepreneurship Competition！ (指导吴侗雨、李猛、王书麟等同学获得第八届中国国际“互联网+”大学生创新创业大赛全国银奖、江苏赛一等奖)！

  • 09/2022 I received AbilityFusion teaching scholarship in Nanjing University (南京大学育教融合奖) in 2022！

  • 07/2022 Our paper “Performance Optimization of Cross Java Language FUSE Framework” is accepted by Acta Electronica Sinica (电子学报)!

  • 07/2022 Our paper “Placing Wireless Chargers with Multiple Antennas” is accepted by SECON 2022 (CCF-B)!

  • 05/2022 I received May 4th Youth Medal in Nanjing University (南京大学青年五四奖章) in 2022 !

  • 04/2022 Our paper “Meces: Latency-efficient Rescaling via Prioritized State Migration for Stateful Distributed Stream Processing Systems” is accepted by USENIX ATC 2022 (CCF-A)!

  • 04/2022 I served as the PC member of OSDI’22 Artifacts、USENIX ATC’22 Artifacts、EuroSys’22 Artifacts!

  • 02/2022 Our paper “Fluid: Dataset Abstraction and Elastic Acceleration for Cloud-native Deep Learning Training Jobs” is accepted by IEEE ICDE 2022 (CCF-A)!

  • 01/2022 Our paper “Seesaw Counting Filter: An Efficient Guardian for Vulnerable Negative Keys During Dynamic Filtering” is accepted by WWW 2022 (CCF-A)!

  • 12/2021 Our paper “Liquid: Intelligent Resource Estimation and Network-Efficient Scheduling for Deep Learning Jobs on Distributed GPU Clusters” is accepted by IEEE TPDS (CCF-A)!

Selected Recent Publications

  1. [ATC'23]Adaptive Online Cache Capacity Optimization via Lightweight Working Set Size Estimation at Scale. (USENIX ATC, CCF-A), to appear, 2023.

  2. [TKDE'23]Seesaw Counting Filter: A Dynamic Filtering Framework for Vulnerable Negative Keys. (IEEE TKDE, CCF-A), to appear, 2023.

  3. [ATC'22]Meces: Latency-efficient Rescaling via Prioritized State Migration for Stateful Distributed Stream Processing Systems. (USENIX ATC, CCF-A), pp. 539-556, 2022.

  4. [ICDE'22]Fluid: Dataset Abstraction and Elastic Acceleration for Cloud-native Deep Learning Training Jobs. (IEEE ICDE, CCF-A), pp. 2183-2196, 2022.

  5. [TPDS'22]Liquid: Intelligent Resource Estimation and Network-Efficient Scheduling for Deep Learning Jobs on Distributed GPU Clusters. (IEEE TPDS, CCF-A), Vol 33(11), pp. 2808-2820, 2022.

  6. [ICDE'22]Bamboo Filters: Make Resizing Smooth. (IEEE ICDE, CCF-A), pp. 979-991, 2022.

  7. [HPCC'22, Best Paper Award]Efficient, Scalable and Robust Data Shuffle Service for Distributed MapReduce Computing on Cloud. (IEEE HPCC, CCF-C), pp. 979-991, 2022.

  8. [INFOCOM'23]Time and Cost-Efficient Cloud Data Transmission based on Serverless Computing Compression. (IEEE INFOCOM, CCF-A), to appear, 2023.

  9. [VLDBJ'22]A Pareto Optimal Bloom Filter Family with Hash Adaptivity (VLDB Journal, CCF-A), to appear, 2022.

  10. [WWW'22]Seesaw Counting Filter: An Efficient Guardian for Vulnerable Negative Keys During Dynamic Filtering (WWW, CCF-A), pp. 2759-2767, 2022.

  11. [TPDS'18]Penguin: Efficient Query-based Framework for Replaying Large Scale Historical Data. (IEEE TPDS, CCF-A), pp. Vol.29(10), 2333-2345, 2018.

  12. [TPDS'17]Improving Execution Concurrency of Large-Scale Matrix Multiplication on Distributed Data-Parallel Platforms. (IEEE TPDS, CCF-A), Vol.28(9), pp. 2539-2552, 2017.

  13. [TNET'23]SAFE: Service Availability via Failure Elimination Through VNF Scaling. (ACM/IEEE TNET, CCF-A), to appear, 2023.

  14. [ICDE'21]Hash Adaptive Bloom Filter. (IEEE ICDE, CCF-A), pp. 636-647, 2021.

  15. [ICDE'19]BENU: Distributed Subgraph Enumeration With Backtracking-based Framework. (IEEE ICDE, CCF-A), pp. 136-147, 2019.

  16. [TPDS'21]Towards Efficient Large-scale Interprocedural Program Static Analysis on Distributed Data-Parallel Computation. (IEEE TPDS, CCF-A), Vol.32(4), pp. 867-883, 2021.

  17. [TPDS'21]Towards Efficient Distributed SubgraphEnumeration via Backtracking-based Framework. (IEEE TPDS, CCF-A), Vol.32(12), pp. 2953-2969, 2021.

  18. [TPDS'19]Efficient and Scalable Functional Dependency Discovery on Distributed Data-Parallel Platforms. (IEEE TPDS, CCF-A), Vol.30(2), pp. 2663-2676, 2019.

  19. [TMC'22]Placing Wireless Chargers with Limited Mobility. (IEEE TMC, CCF-A), to appear, 2022.

See more info of my publications