Performance and Security of Large-Scale Online Services
IoT Stream Processing
Gu, X., & Wang, Q. (2025, July). PathFence: Reducing cross-path dependencies in microservices.
In Proceedings of the 34th International Symposium on High-Performance Parallel and
Distributed Computing (HPDC) (pp. 17:1-17:13).
Alam, M. R., Wei, J., & Wang, Q. (2025, June). CryptMove: Moving stealthily through
legitimate and encrypted communication channels. In Proceedings of the 15th ACM Conference
on Data and Application Security and Privacy (CODASPY) (pp. 359-370).
Wang, Q., Gu, X., & Pu, C. (2024, December). A study of response time instability
of microservices at high resource utilization in the cloud. In 2024 IEEE International
Conference on Cognitive Machine Intelligence (CogMI) (pp. 111-116).
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).
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).
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 (AsiaCCS).
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 (EuroSys) (pp. 182-199).
Liu, J., Zhang, S., & Wang, Q. (2023, October). MicroConAdapter: Reinforcement learning-based
fast concurrency adaptation for microservices in cloud. In Proceedings of the 2023
ACM Symposium on Cloud Computing (SoCC) (pp. 427-442).
Xu, H., Liu, P., Guan, B., Wang, Q., Da Silva, D., & Hu, L. (2023). Achieving online
and scalable information integrity by harnessing social spam correlations. IEEE Access,
11, 7768-7781.
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.
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