Enabling Responsive Web Systems

Achieving good performance and high efficiency of hardware resources by coordinating fast soft resource adaptation with hardware scaling

Navigating Dynamic Stateful IoT Apps

Step into the dynamic world of IoT applications and explore performance variations in stateful IoT stream processing systems

Exploring Stream Learning in Sciences

Designing flexible and efficient systems for intelligently organizing AI/ML-based scientific simulations

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Biography

I am a tenure-track assistant professor in Department of Computer Science at Boise State University, leading the ⭐ Pisces Lab ⭐. I received my Ph.D. degree in Computer Science from Louisiana State University in 2024, under the supervision of Dr. Qingyang Wang.

My interest lies in performance and scalability analysis of various cloud systems, with the aim of achieving good performance and high resource efficiency for evolving systems in cloud environments. My research relies on timeline analysis to investigate various factors that cause the performance variations of cloud systems. Moreover, we design and evaluate intelligent and automated frameworks to improve the system performance.

My collaborators are from Augusta University, Georgia Tech, Fujitsu Laboratories Ltd, etc. I have worked as a summer research intern at the University of Chicago, specifically in the Globus Labs.

To prospective students: I’m always looking for students who have a solid background in computer systems and share my research interests. If you are interested, please e-mail me with your Resume.

Interests

  • Cloud Computing
  • Distributed System
  • Microservices
  • Stream Processing System
  • ML for Systems

Education

  • Ph.D. in Computer Science, 2018 - 2024

    Louisiana State University-Baton Rouge

  • B.Eng. in Optical Information Science and Technology, 2014 - 2018

    Beijing University of Posts and Telecommunications

Recent News

  • Feb 2025 [Paper] Our work “IrisBench” accepted by HotCloudPerf’25!
  • Feb 2025 [Service] Serving on the TPC Committee at IEEE Cloud Summit’25.
  • Sep 2024 [Service] Serving on the PC Committee at IPDPS’25.
  • Jul 2024 [Conference] Presented work “VideoProBench” OSDI’24 Poster in San Jose, CA!
  • Jun 2024 [Poster] Our work from student interns accepted by OSDI’24 Poster!
  • Apr 2024 [Award] Received LSU 5th EECS Symposium Meritorious Awards!
  • Mar 2024 [Paper] Our work “Grunt Attack” accepted by DSN’24! Congrats, Xuhang!
  • Feb 2024 [Career] Determined to join Boise State University as an Assistant Professor!​
  • Feb 2024 [Career] Passed PhD Final Defense. Thanks for all doctoral committee members!
  • Jan 2023 [Paper] Our work “Sync-M Attack” accepted by AsiaCCS’24! Congrats, Xuhang!
  • Dec 2023 [Award] Our work “Sora” received a Best Paper Award in Middleware’23!​
  • Dec 2023 [Conference] Attended the College Outreach Program at NeurIPS’23 in NOLA.
  • Oct 2023 [Conference] Presented work “μConAdapter” SoCC’23 in Santa Cruz, CA
  • Oct 2023 [Talk] Invited Talk of MoStream in ParslFest2023 at UChicago, IL. video slides
  • Oct 2023 [Award] Student Scholarship $1200 from SoCC’23, Thanks!
  • Sep 2023 [Paper] Our work “μConAdapter” accepted by SoCC’23!
  • Jul 2023 [Conference] Attended OSDI/ATC’23 in Boston, MA.
  • May 2023 [Intern] Started Internship at Globus Labs!

Publications

Zhiqi Li, Ruiqi Yu, Jianshu Liu (2025). IrisBench: An Open-Source Benchmark Suite for Video Processing Systems in Cloud. to appear in 8th Workshop on Hot Topics in Cloud Computing Performance (HotCloudPerf’25) at ICPE 2025.

Xuhang Gu, Qingyang Wang, Jianshu Liu, Jinpeng Wei (2024). Grunt Attack: Exploiting Execution Dependencies in Microservices. In Proceedings of the 54th Annual IEEE/IFIP International Conference on Dependable Systems and Networks (DSN’24).

PDF DOI

Xuhang Gu, Qingyang Wang, Qiben Yan, Jianshu Liu, Calton Pu (2024). Sync-Millibottleneck Attack on Microservices Cloud Architecture. In Proceedings of the 19th ACM ASIA Conference on Computer and Communications Security (AsiaCCS’24).

PDF DOI

Jianshu Liu, Shungeng Zhang, Qingyang Wang (2023). μConAdapter: Reinforcement Learning-based Fast Concurrency Adaptation for Microservices in Cloud. In Proceedings of the 14th ACM Symposium on Cloud Computing (SoCC’23).

PDF DOI

Xuhang Gu, Jianshu Liu, Qingyang Wang (2023). A BlackBox Approach to Profile Runtime Execution Dependencies in Microservices. In Proceedings of the 9th IEEE International Conference on Collaboration and Internet Computing (CIC’23).

DOI

Jianshu Liu, Qingyang Wang, Shungeng Zhang, Liting Hu, and Dilma Da Silva (2023). Sora: A Latency Sensitive Approach for Microservice Soft Resource Adaptation. In Proceedings of the 24th ACM/IFIP International Middleware Conference (Middleware’23)
🏆 Best Paper Award.

PDF DOI Award

Shungeng Zhang, Qingyang Wang, Yasuhiko Kanemasa, Julius Michaelis, Jianshu Liu, and Calton Pu (2022). ShadowSync: Latency Long Tail caused by Hidden Synchronization in Real-time LSM-tree based Stream Processing Systems. In Proceedings of the 23rd ACM/IFIP International Middleware Conference (Middleware’22).

PDF DOI

Jianshu Liu, Shungeng Zhang, Qingyang Wang, and Jinpeng Wei (2022). Coordinating Fast Concurrency Adapting with Autoscaling for SLO-Oriented Web Applications. In IEEE Transactions on Parallel and Distributed Systems (TPDS’22).

Poster DOI

Calton Pu, Qingyang Wang, Yasuhiko Kanemasa, Rodrigo Alves Lima, Joshua Kimball, Shungeng Zhang, Jianshu Liu, Xuhang Gu (2021). A Functional Model and Analysis of Next Generation Malware Attacks and Defenses. In 2021 Third IEEE International Conference on Trust, Privacy and Security in Intelligent Systems and Applications (TPS-ISA’21).

DOI

Shungeng Zhang, Qingyang Wang, Yasuhiko Kanemasa, Jianshu Liu, and Calton Pu (2020). DoubleFaceAD:A New Datastore Drive Architecture to Optimize Fanout Query Performance. In Proceedings of the 21st ACM/IFIP International Middleware Conference (Middleware’20).

PDF Code Video DOI

Jianshu Liu, Shungeng Zhang, Qingyang Wang, and Jinpeng Wei (2020). Mitigating Large Response Time Fluctuations through Fast Concurrency Adapting in Clouds. In Proceedings of the 34th IEEE International Parallel & Distributed Processing Symposium (IPDPS’20).

PDF Slides Video DOI

Shungeng Zhang, Huasong Shan, Qingyang Wang, Jianshu Liu, Qiben Yan, and Jinpeng Wei (2019). Tail Amplification in n-Tier Systems: A Study of Transient Cross-Resource Contention Attacks. In Proceedings of the 39th International Conference on Distributed Computing Systems (ICDCS’19).

PDF DOI

Projects

I collaborate with many researchers in Performance and Scalability Analysis of Web Systems, Stateful IoT Data Streaming Systems, AI/ML Systems in Science, and Cybersecurity. Examples include analyzing performance anomaly in microservices and stateful stream processing systems (Flink), designing flexible and efficient AI systems for scientific applications (Molecular Simulation), and defending new DDoS attacks in web systems.

  • Performance of Web Systems: ConScale, Sora, μConAdapter
  • IoT Data Streaming Systems: Dracena, ShadowSync, BorderGuard
  • Scientific Streaming Data Analysics Systems: Colmena, MoStream, PFAS-Sensing
  • Digital Twin Computing: Dracena, DT-RUTH
  • DDoS attacks of Web Systems: MemCA, SyncM, Grunt
  • Edge-Cloud Data Analytics Continuum in HealthCare: SensEat
  • Cloud Video Processing/Analytics System: IrisBench

Teaching

Instructor at BSU:

◦ CSC452/552 Operating Systems 2024 Fall

Teaching Assistant at LSU:

◦ CSC7510 Cloud and Enterprise Systems 2021 Spring
◦ CSC4610 Cloud Systems and Virtualization 2018-2023 Fall
◦ CSC4890 Introduction of Theory of Computation 2020 Fall
◦ CSC2610 Cloud Fundamentals and Web Programming 2019-2024 Spring
◦ CSC2730 Data Science & Analytics 2020 Fall
◦ CSC2262 Numerical Methods 2018 Fall
◦ CSC1350 Java Programming 2019 Fall, 2022-2023 Spring

Professional Service

◦ TPC Member in AI/ML for Cloud and IoT Track, (IEEE Cloud Summit’25), 2025
◦ Reviewer, ACM Transactions on Internet Technology (TOIT), 2025
◦ PC Member in System Software Track, The 39th IEEE International Parallel and Distributed Processing Symposium (IPDPS’25), 2024
◦ Reviewer, IEEE Transactions on Parallel and Distributed Systems (TPDS), 2024
◦ Reviewer, IEEE Transactions on Information Forensics and Security (TIFS), 2024
◦ Reviewer, IEEE Transactions on Mobile Computing (TMC), 2024
◦ Reviewer, IEEE Transactions on Automation Science and Engineering (TASE), 2024
◦ External Reviewer, The 19th ACM ASIA Conference on Computer and Communication Security (AsiaCCS’24), 2024
◦ Reviewer, IEEE Transactions on Parallel and Distributed Systems (TPDS), 2023
◦ Shadow Program Committee, The 18th European Conference on Computer Systems (EuroSys’23), 2023
◦ External Reviewer, IEEE Transactions on Parallel and Distributed Systems (TPDS), 2022
◦ External Reviewer, IEEE Transactions on Cloud Computing (TCC), 2020
◦ External Reviewer, IEEE Transactions on Cloud Computing (TCC), 2019

Experience

 
 
 
 
 

Assistant Professor

Boise State University

Jul 2024 – Present Boise, ID, USA
 
 
 
 
 

Summer Intern, Globus Lab

University of Chicago

May 2023 – Aug 2023 Chicago, IL, USA
Advisor: Dr.Kyle Chard
 
 
 
 
 

Research Assistant

Louisiana State University-Baton Rouge

Aug 2018 – May 2024 Baton Rouge, LA, USA
Advisor: Dr.Qingyang Wang
 
 
 
 
 

Intern

China Telecom Corporation Limited Beijing Research Institute

Mar 2018 – May 2018 Beijing, China
Advisor: Dr.Xuliang Wang
 
 
 
 
 

Full-time undergraduate student

Beijing University of Posts and Telecommunications

Sep 2014 – Jun 2018 Beijing, China

Contact

  • jliu96@lsu.edu
  • City Center Plaza (CCP) Building, Boise, ID 83702