Qingyang Wang

Associate Professor 
Graduate Advisor

Contact

qwang26@lsu.edu 
Office 3272M
Patrick F. Taylor Hall

Educational Background

Ph.D. in Computer Science, Georgia Institute of Technology, 2014

M.S in Computer Science and Engineering, Chinese Academy of Sciences, 2007

B.S. in Computer Science and Engineering, Wuhan University, 2004

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Qingyang Wang

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  • CSC 2610: Cloud Fundamentals and Web Programming
  • CSC 4610: Virtualization and Cloud Systems
  • CSC 7610: Cloud and Enterprise Systems
  • Distributed Systems
  • Performance and Security of Large-Scale Online Services
  • IoT Stream Processing
  • Wang, Q., Gu, X., & Pu, C. (2024, October). A Study of Response Time Instability of Microservices at High Resource Utilization in the Cloud. In 2024 IEEE 6th International Conference on Cognitive Machine Intelligence (CogMI) (pp. 111-116). IEEE.
  • Alam, M. R., Wei, J., Sajid, M. S. I., Wang, Q., & Fu, C. (2024, October). Moving from the Developer Machine to IoT Devices: An Empirical Study. In 2024 IEEE Secure Development Conference (SecDev) (pp. 140-152). IEEE.
  • Gu, X., Wang, Q., Yan, Q., Liu, J., & Pu, C. (2024, July). Sync-millibottleneck attack on microservices cloud architecture. In Proceedings of the 19th ACM ASIA Conference on Computer and Communications Security (pp. 799-813).
  • Gu, X., Wang, Q., Liu, J., & Wei, J. (2024, June). Grunt attack: Exploiting execution dependencies in microservices. In 2024 54th Annual IEEE/IFIP International Conference on Dependable Systems and Networks (DSN) (pp. 115-128). IEEE.
  • Ching, C. W., Chen, X., Kim, T., Ji, B., Wang, Q., Da Silva, D., & Hu, L. (2024, April). Totoro: A scalable federated learning engine for the edge. In Proceedings of the Nineteenth European Conference on Computer Systems (pp. 182-199).
  • Liu, J., Wang, Q., Zhang, S., Hu, L., & Da Silva, D. (2023, November). Sora: A latency sensitive approach for microservice soft resource adaptation. In Proceedings of the 24th International Middleware Conference (pp. 43-56).
  • Gu, X., Liu, J., & Wang, Q. (2023, November). A BlackBox Approach to Profile Runtime Execution Dependencies in Microservices. In 2023 IEEE 9th International Conference on Collaboration and Internet Computing (CIC) (pp. 116-120). IEEE.
  • Liu, J., Zhang, S., & Wang, Q. (2023, October). μConAdapter: Reinforcement Learning-based Fast Concurrency Adaptation for Microservices in Cloud. In Proceedings of the 2023 ACM Symposium on Cloud Computing (pp. 427-442).
  • Ilhan, F., Su, G., Wang, Q., & Liu, L. (2023, July). Scalable Federated Learning with System Heterogeneity. In 2023 IEEE 43rd International Conference on Distributed Computing Systems (ICDCS) (pp. 1037-1040). IEEE.
  • Zhang, S., Wang, Q., Kanemasa, Y., Michaelis, J., Liu, J., & Pu, C. (2022, November). 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 (pp. 281-294).
  • 2023: Best Paper Award in the ACM/IFIP Middleware 2023, Title: Sora: A Latency Sensitive Approach for Microservice Soft Resource Adaption. 
  • 2019: Outstanding Services Award from the Services Conference Federation (SCF).
  • 2018: LSU Tiger Athletic Foundation Undergraduate Teaching Award.
  • 2018: Best Paper Award at the 11th International Conference on Cloud Computing (IEEE). 
  • 2016: NSF Research Initiation Initiative (CRII) Award. 
  • 2025: Source: National Science Foundation (NSF), Title: CC* Strategy-Campus: Adaptive Spatiotemporal Data Ecosystem for Intelligent Integration of Cloud/Edge Involving Human Agents, PI: Qingyang Wang, $99,999.
  • 2020-2024: Source: NSF Division of Computer Network and System (CNS), Title: EAGER: Subtle and Harmful: Millisecond-scale Viral Denial of Service (VDoS) Attacks, PI: Qingyang Wang, $200,000.
  • 2018-2020: Source: Subcontract from Georgia Tech, Collaboration with Fujitsu Labs in Japan, PI: Qingyang Wang, $30,526.
  • 2016-2019: Source: NSF Computer System Research Program (CSR), Title: CRII:CSR: an Asynchronous Design to Reduce the Long-tail Latency of N-Tier App, PI: Qingyang Wang, $175,000.
  • 2015-2019: Source: National Science Foundation (NSF), Title: CyberSEES: Type 2: A Coastal Resilience Collaboratory: Cyber-enabled Discoveries for Sustainable Deltaic Coasts, SP: Qingyang Wang, Total Amount: $1,199,154, Dr. Wang's Portion: $43,920.
  • 2017-2018: Source: Subcontract from Georgia Tech, Collaboration with Fujitsu Labs in Japan, PI: Qingyang Wang, $15,263.
  • 2016-2017: Source: Subcontract from Georgia Tech, Collaboration with Fujitsu Labs in Japan, and LSU, Title: Experimental Study of Distributed Systems Performance Cloud Applications Management, PI: Qingyang Wang, Software License from Fujitsu Labs in Japan worth $30,000 for collaborative research. 
  • 2015-2018: Source: Louisiana Board of Regents (RCS), Title: A Study of Very Short Bottlenecks: Understanding and Reducing Latency Long-Tail Problem of n-Tier Web Applications in Cloud, PI: Qingyang Wang, $162,249.
  • 2018-2023: Source: National Science Foundation (NSF), Title: Louis Stokes Regional Center of Excellence: Center for Promotion of Academic Careers through Motivational Opportunities to Develop Emerging Leaders in STEM (LS-PAC MODELS), SI: Qingyang Wang, Total Amount: $2.5M, Dr. Wang's Portion: $75,000.