彭博 Bo Peng

Email: pengbo_michael AT sjtu.edu.cn

博士，助理研究员，硕士生导师。

2016年、2019年和2023年毕业于上海交通大学，先后获学士、硕士、博士学位。2023年加入上海交通大学电子信息与电气工程学院，上海市可扩展计算与系统实验室。

主要研究领域：系统软件、虚拟化、内存存储系统。长期从事异质内存存储硬件的操作系统设计与虚拟化技术方面的研究，已于高水平学术期刊和会议上以第一作者发表论文8篇，其中USENIX ATC、IEEE TC，ACM TACO等CCF-A类会议或期刊5篇，CCF-B类会议或期刊3篇；申请国家发明专利8项，已获授权4项。
曾担任CCF-A类会议USENIX FAST Artifact Evaluation Program Committee委员、CCF-A类会议IEEE INFOCOM、DAC审稿人等。

曾三次获评上海市优秀毕业生，两次获评国家奖学金，两次获评Intel奖学金，获得上海市计算机学会优秀博士论文提名奖。

主持“上海交通大学ExploreX基金”项目一项，参与国家自然科学基金重点项目一项、国家重点研发计划项目一项。
已参与完成国家重点研发计划项目一项。

Dr. Bo Peng is an assitant professor in SJTU, a member of the Shanghai Key Laboratory of Scalable Computing and Systems.
Bo Peng received his B.E. and M.E. and Ph.D. degrees from Shanghai Jiao Tong University in 2016, 2019 and 2023, and was awarded the Outstanding Graduates of Shanghai three times. His research interests mainly include system virtualization, cloud computing, and storage systems. He has published several papers in the international conferences/journals, including IEEE TC, ACM TACO, USENIX ATC, etc. He won the honor of the National Scholarship for graduate students twice in 2018 and 2021. He won Intel Fellowship Award twice. He is the technological backbone of two National R&D Projects and one National Science Fund Project.
He is a Artifact Evaluation Program Committee of USENIX FAST, and a reviewer of IEEE INFOCOM and DAC confenrences.

我正在招收硕士研究生和参与学科竞赛与实验室科研的本科生，欢迎邮件联系我！！！

Seleted Publications

  • [MSST’24] Bo Peng, Yingquan (Cody) Wu, Ziyang Zhang, Jianguo Yao, and Xue Liu, BURST: A Chunk-Based Data Deduplication System with Burst-Encoded Fingerprint Matching, in Proceedings of 38th International Conference on Massive Storage Systems and Technology
  • [USENIX ATC’23] Bo Peng, Cheng Guo, Jianguo Yao, Haibing Guan
    LPNS: Scalable and Latency-Predictable Local Storage Virtualization for Unpredictable NVMe SSDs in Clouds, in Proceedings of 2023 USENIX Annual Technical Conference (USENIX ATC 23), 785-800
  • [TACO 2023] Bo Peng, Yaozu Dong, Jianguo Yao, Fengguang, Wu, and Haibing Guan, FlexHM: A Practical System for Heterogeneous Memory with Flexible and Efficient Performance Optimizations, ACM Transactions on Architecture and Code Optimization，20(1): 13:1-13:26 (2023)
  • [TC 2022] Bo Peng, Jianguo Yao, Yaozu Dong, and Haibing Guan, MDev-NVMe: Mediated Pass-Through NVMe
    Virtualization Solution with Adaptive Polling, IEEE Trans. Computers 71(2): 251-265 (2022)
  • [TC 2021] Bo Peng, Ming Yang. Jianguo Yao, Haibing Guan: A Throughput-Oriented NVMe Storage Virtualization with Workload-Aware Management, IEEE Trans. Computers 70(12): 2112-2124 (2021)
  • [JSA 2019] Bo Peng, Jianguo Yao, Xin Xu, Proactive Coordination for Low-Congestion Multi-Path Datacenter Networks, Journal of Systems Architecture 101, (2019)
  • [USENIX ATC’18] Bo Peng, Jianguo Yao, Yaozu Dong, Haozhong Zhang, Yu Xu, Haibing Guan, MDev-NVMe: A NVMe Storage
    Virtualization Solution with Mediated Pass-Through”, USENIX ATC 2018: 665-676
  • [IPDPS’18] Bo Peng, Jianguo Yao, Zhengwei Qi, and Haibing Guan, HybridPass: Hybrid Scheduling for Mixed Flows in Datacenter Networks”, IPDPS 2018: 1000-1009

Seleted Patents

  • 姚建国，彭博，管海兵；一种云数据中心网络中混合数据流协同调度方法 ；ZL201710414936.2; **已授权 (Granted)**；2021.05.11
  • 姚建国，郭成，彭博，陈义全，王一静; 时延可预测的 NVMe 存储虚拟化方法和系统; ZL 202011620231.4; 已授权 (Granted)；2023.01.31
  • 姚建国, 吴志成, 彭博, 管海兵, 可扩展性的 NVMe 存储虚拟化方法和系统; ZL 202111507944.4; **已授权 (Granted)**；2024.05.28。
  • 姚建国; 张子扬; 管海兵; 彭博; 基于指纹的块粒度数据去重系统和方法; ZL 202210009039.4; **已授权 (Granted)**；2024.04.09。
  • 姚建国，杨铭，彭博， 陈振东; 一种输入/输出 I/O 请求处理方法和主机设备; CN202010397767.8; 已公开
  • 姚建国, 谢正平, YIREN RONNIE HUANG, 唐杰, 彭博；拥有即时处理能力的NVMe虚拟化方法、系统、介质及设备，CN202211684110.5，已公开
  • 姚建国, 王文杰, YIREN RONNIE HUANG, 唐杰, 彭博；完全硬件卸载的NVMe存储加速系统； CN202211684098.8；已公开

Research

High-performance Storage Virtualization

  • High-performance Mediated Pass-Through Virtualization with adaptive polling.
    The first kernel state NVMe virtualization method greatly reduces the cost of active polling and improves the scalability of storage virtualization scheme.

  • Research on hybrid deployment of high-density containers and security containers for storage virtualization
    The first high-density virtualization scheme for a single NVMe disk device that breakthroughs the 256 limit of BDF, supporting the mixed deployment of 1000+quantity containers and security containers for high-performance serverless storage applications.

Cloud Storage QoS

  • High throughput QoS storage virtualization scheduling research.
    NVMe storage native virtualization with zero throughput under multi tenant shared cloud storage scenario.

  • Latency-predictable NVMe virtualization research.
    The first multi-tenant cloud storage virtualization method with predictable latency for normal and unpredictable NVMe disks.

Heterogeneous Memory System and Virtualization:

  • High-performance Transparent Heterogeneous Main Memory System.
    An Optane AEP supported practical heterogeneous memory management system and memory
    virtualization with customized high-performance memory management and performance control.

  • High-performance NVM-based Key-value Store Engine for Databases and AI Applications.

  • NUMA-aware Optimization for Heterogeneous Memory Databases.

Others:

  • Mixed Flows Scheduling in Data Center Network.
    Main achievements: The first mixed flow collaborative scheduling scheme in the data center network effectively reduces the network delay cost caused by mixed flow network congestion and improves the utilization of network throughput rate.

  • Intelligent Fingerprint matching for Chunk-based Deduplication System

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