• CS2610 Cloud Fundamentals and Web Programming (in spring semester)
• CS4610 Virtualization and Cloud Systems (in fall semester)
• CS4740 Big Data Technologies (spring 2015)
• CS7700 Cloud and Enterprise Systems (in spring semester)

2024

• Xuhang, Gu, Qingyang Wang, Jianshu Liu, Jinpeng Wei. “Grunt Attack: Exploiting Execution Dependencies in Microservices” to appear in the 54th Annual IEEE/IFIP International Conference on Dependable Systems and Networks (DSN'24), Brisbane, Australia, June 24-27, 2024.

• Cheng-Wei Ching, Xin Chen, Taehwan Kim, Bo Ji, Qingyang Wang, Dilma Da Silva, Liting Hu. “Totoro: A Scalable Federated Learning Engine for the Edge” to appear in the 19th ACM SIGOPS European Conference on Computer Systems (EuroSys'24), Athens, Greece, April 2024.

• Xuhang Gu, Qingyang Wang, Qiben Yan, Jianshu Liu, Calton Pu. “Sync-Millibottleneck Attack on Microservices Cloud Architecture.” to appear in the 19th ACM ASIA Conference on Computer and Communications Security (AsiaCCS’24), Singapore, July 2024.

2023

• Xuhang Gu, Jianshu Liu, Qingyang Wang. “ A BlackBox Approach to Profile Runtime Execution Dependencies in Microservices.” in the 9th IEEE International Conference on Collaboration and Internet Computing (CIC’23), Atlanta, GA, Nov. 2023.

• Jianshu Liu, Shungeng Zhang, Qingyang Wang. “𝜇ConAdapter: Reinforcement Learning-based Fast Concurrency Adaptation for Microservices in the Cloud.” In the 14th ACM Symposium on Cloud Computing (SoCC'23), Santa Cruz, CA. October 2023.

• Jianshu Liu, Qingyang Wang, Shungeng Zhang, Liting Hu, and Dilma Da Silva. “Sora: A Latency Sensitive Approach for Microservice Soft Resource Adaption.” In the ACM/IFIP Middleware 2023 (Middleware'23), Bologna, Italy. December 2023. (Best Paper Award)

• Justin Kur, Jingshu Chen, Qingyang Wang, Ji Xue and Jun Huang. “A Configurable Resource Management Recommendation Framework for Cloud Systems” in the 16th IEEE/ACM International Conference on Utility and Cloud Computing (UCC'23), Taormina, Italy. Dec. 2023.

• Fatih Ilhan, Gong Su, Qingyang Wang, Ling Liu. “Scalable Federated Learning with Systems Heterogeneity.” in IEEE 2023 International Conference on Distributed Computing Systems (ICDCS'23), Hong Kong, China. July 2023. (Demo)

• Hailu Xu, Pinchao Liu, Boyuan Guan, Qingyang Wang, Dilma Da Silva, Liting Hu. “Achieving Online and Scalable Information Integrity by Harnessing Social Spam Correlations.” in IEEE Access (IEEE Access), vol. 11, pp. 7768-7781, 2023, doi: 10.1109/ACCESS.2023.3236604.

2022

• Shungeng Zhang, Qingyang Wang, Yasuhiko Kanemasa, Julius Michaelis, Jianshu Liu, and Calton Pu. “ShadowSync: Latency Long Tail caused by Hidden Synchronization in Real-time LSM-tree based Stream Processing Systems.” in ACM/IFIP Middleware 2022 (Middleware'22), Québec City, Québec, Canada. November 7–11 2022.

• Jianshu Liu, Shungeng Zhang, Qingyang Wang, and Jingpeng Wei. “Coordinating Fast Concurrency Adapting with Autoscaling for SLO-Oriented Web Applications.” in IEEE Transactions on Parallel and Distributed Systems (TPDS), vol. 33, no. 12, pp. 3349-3362, 1 Dec. 2022.

• Jinlai Xu; Balaji Palanisamy; Qingyang Wang; Heiko Ludwig; Sandeep Gopisetty. “Decentralized Allocation of Geo-distributed Edge Resources using Smart Contracts.” in 22nd IEEE International Symposium on Cluster, Cloud and Internet Computing (CCGrid'22), Taormina, Italy, 2022, pp. 422-431.

2021

• Xu, Jinlai, Balaji Palanisamy, Qingyang Wang, Heiko Ludwig, and Sandeep Gopisetty. “Amnis: Optimized stream processing for edge computing.” in Journal of Parallel and Distributed Computing(JPDC), (JPDC) 160 (2022): 49-64.

• Xu, Jinlai, Balaji Palanisamy, and Qingyang Wang. “Resilient stream processing in edge computing.” in 2021 IEEE/ACM 21st International Symposium on Cluster, Cloud and Internet Computing (CCGrid'21), Melbourne, Australia, May 10-13, 2021.

• Ivanov, Nikolay, Qiben Yan, and Qingyang Wang. “Blockumulus: a scalable framework for smart contracts on the cloud.” in 2021 IEEE 41st International Conference on Distributed Computing Systems (ICDCS'21), Washington DC, USA, July 7-10, 2021.

• Joshua Kimball, Rodrigo Alves Lima, Abhijit Suprem, Qingyang Wang, Yasuhiko Kanemasa, and Calton Pu. “PerfML: Smart Management of Complex Performance Data and Analytics.” in The Third IEEE International Conference on Cognitive Machine Intelligence (CogMi'21).

• Calton Pu, Qingyang Wang, Yasuhiko Kanemasa, Rodrigo Alves Lima, Joshua Kimball, Shungeng Zhang, Jianshu Liu and Xuhang Gu. “A Functional Model and Analysis of Next Generation Malware Attacks and Defenses.” in The third IEEE International Conference on Trust, Privacy and Security in Intelligent Systems, and Applications (TPS'21).

2020

• Shungeng Zhang, Qingyang Wang, Yasuhiko Kanemasa, Jianshu Liu, and Calton Pu. “DoubleFaceAD: A New Datastore Driver Architecture to optimize Fanout Query Performance.” in ACM/IFIP Middleware 2020 (Middleware'20), Delft, The Netherlands, December 2020.

• Amirreza Niakanlahiji, Jinpeng Wei, Md Rabbi Alam, Qingyang Wang, and Bei-Tseng Chu. “ShadowMove: A Stealthy Lateral Movement Strategy.” in Proc. of 2020 USENIX Security Symposium (USENIX Security'20), Boston, MA, USA, August 2020.

• Jianshu Liu, Shungeng Zhang, Qingyang Wang, and Jinpeng Wei. “Mitigating Large Response Time Fluctuations through Fast Concurrency Adapting in the Cloud.” in Proc. of the 34th IEEE International Parallel & Distributed Processing Symposium (IPDPS'20), New Orleans, LA, USA, May 2020.

• Pinchao Liu, Liting Hu, Hailu Xu, Dilma Da Silva, Qingyang Wang, Sarker Tanzir Ahmed. “FP4S: Fragment-based Parallel State Recovery for Stateful Stream Applications.” in Proc. of the 34th IEEE International Parallel & Distributed Processing Symposium (IPDPS'20), New Orleans, LA, USA, May 2020.

2019

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

• Shungeng Zhang, Qingyang Wang, Yasuhiko Kanemasa, Huasong Shan, and Liting Hu. “The Impact of Event Processing Flow on Asynchronous Server Efficiency.” In IEEE Transactions on Parallel and Distributed Systems (IEEE TPDS).

• Qingyang Wang, Shungeng Zhang , Yasuhiko Kanemasa, Calton Pu, Balaji Palanisamy, Lilian Harada, and Motoyuki Kawaba. “Optimizing N-Tier Application Scalability in the Cloud: A Study of Soft Resource Allocation.” In ACM Transactions on Modeling and Performance Evaluation of Computing Systems (ACM TOMPECS), vol. 4, issue 2, Article 10 (June 2019).

• Qingyang Wang, Shungeng Zhang , Yasuhiko Kanemasa, Calton Pu. “Mitigating Tail Response Time of n-Tier Applications: The Impact of Asynchronous Invocations.” In ACM Transactions on Internet Technology (ACM TOIT), 19, 3, Article 36 (July 2019).

• Boyang Hu, Qicheng Lin, Yao Zheng, Qiben Yan, Matthew Troglia, and Qingyang Wang. “Characterizing Location-based Mobile Tracking in Mobile Ad Networks.” In Proc. of 2019 IEEE Conference on Communications and Network Security (CNS'19), Washington D.C., USA, June 2019. (acceptance rate 32/115=27.8%)

2018

• Qingyang Wang, Hui Chen, Shungeng Zhang, Liting Hu, and Balaji Palanisamy. “Integrating Concurrency Control in n-Tier Application Scaling Management in the Cloud.” in IEEE Transactions on Parallel and Distributed Systems, (IEEE TPDS), vol. 30, no. 4, pp. 855-869, April 1 2019.

• Shungeng Zhang, Qingyang Wang, and Yasuhiko Kanemasa. “Improving Asynchronous Invocation Performance in Client-server Systems.” In Proc. of the 38th International Conference on Distributed Computing Systems (ICDCS'18), Vienna, Austria, July 2018.

• Shengsong Yang, Li Pan, Qingyang Wang, and Shijun Liu. “To Sell or Not To Sell: Trading Your Reserved Instances in Amazon EC2 Marketplace.” In Proc. of the 38th International Conference on Distributed Computing Systems (ICDCS'18), Vienna, Austria, July 2018.

• Balaji Palanisamy, Ling Liu, Yang Zhou, and Qingyang Wang. “Privacy-preserving Publishing of Multi-level Utility Controlled Graph Datasets.” ACM Transactions on Internet Technology (ACM TOIT 2018)

• Brian Peterson, Yalda Fazlalizadeh, Gerald Baumgartner, and Qingyang Wang. “A Vector-Scheduling Approach for Running Many-Task Applications in the Cloud.” In Proc. of the 11th International Conference on Cloud Computing (Cloud'18), Seattle, WA, June 2018. (Best Paper Award)

• Pinchao Liu, Liting Hu, Hailu Xu, Zhiyuan Shi, Jason Liu, Qingyang Wang, Jai Dayal and Yuzhe Tang. “A Toolset for Detecting Containerized Application's Dependencies in CaaS Clouds.” In Proc. of the 11th International Conference on Cloud Computing (IEEE Cloud'18), San Francisco, CA, July 2018.

• Hailu Xu, Liting Hu, Pinchao Liu, Yao Xiao, Wentao Wang, Jai Dayal, Qingyang Wang, and Yuzhe Tang. “Oases: An Online Scalable Spam Detection System for Social Networks.” In Proc. of the 11th International Conference on Cloud Computing (IEEE Cloud'18), San Francisco, CA, July 2018.

• Shengsong Yang, Li Pan, Qingyang Wang, Shijun Liu, and Shuo Zhang. “Subscription or Pay-as-You-Go: Optimally Purchasing IaaS Instances in Public Clouds.” In Proc. of In 2018 IEEE International Conference on Web Services (IEEE ICWS'18), San Francisco, CA, July 2018.

2017

• Huasong Shan, Qingyang Wang, and Calton Pu. “Tail Attacks on Web Applications.” In Proceedings of the 24th ACM Conference on Computer and Communications Security (CCS'17), Dallas, Texas, October 30-November 3, 2017. (Acceptance rate: 151/836=18%)

• Huasong Shan, Qingyang Wang, and Qiben Yan. “Very Short Intermittent DDoS Attacks in an Unsaturated System”, in Proceedings of 13th EAI International Conference on Security and Privacy in Communication Networks (SecureComm'17), Niagara Falls, Canada, October 22-24, 2017. (Acceptance rate: 31/105=29.5%)

• Qingyang Wang, Chien-An Lai, Yasuhiko Kanemasa, Shungeng Zhang, and Calton Pu. “A Study of Long-Tail Latency in n-Tier Systems: RPC vs. Asynchronous Invocations.” In Proc. of the 37th International Conference on Distributed Computing Systems (ICDCS'17), Atlanta, GA, June 2017. (Acceptance rate: 90/531=16.9%)

• Hui Chen, Qingyang Wang, Balaji Palanisamy, and Pengcheng Xiong. “DCM: Dynamic Concurrency Management for Scaling n-Tier Applications in Cloud.” In Proc. of the 37th International Conference on Distributed Computing Systems (ICDCS'17), Atlanta, GA, June 2017. (accepted as a short paper)

• Chien-An Lai, Joshua Kimball, Tao Zhu, Qingyang Wang, and Calton Pu. “milliScope: a Fine-Grained Monitoring Framework for Performance Debugging of n-Tier Web Services", In Proc. of the 37th International Conference on Distributed Computing Systems (ICDCS'17), Atlanta, GA, June 2017. (Acceptance rate: 90/531=16.9%)

• Tao Zhu, Jack Li, Josh Kimball, Junhee Park, Chien-An Lai, Calton Pu and Qingyang Wang. "Limitations of Load Balancing Mechanisms for N-Tier Systems in the Presence of Millibottlenecks", In Proc. of the 37th International Conference on Distributed Computing Systems (ICDCS'17), Atlanta, GA, June 2017. (Application track)

• Chui-Hui Chiu, Dipak Kumar Singh, Qingyang Wang, and Seung-Jong Park. "Coflourish: An SDN-Assisted Coflow Scheduling Framework for Clouds", In Proc. of the 10th International Conference On Cloud Computing (Cloud'17), Honolulu, Hawaii, June 2017. (Acceptance rate: 18%)

• Chui-Hui Chiu, Dipak Kumar Singh, Qingyang Wang, Kisung Lee, and Seung-Jong Park. "Minimal Coflow Routing and Scheduling in OpenFlow-based Cloud Storage Area Networks", In Proc. of the 10th International Conference On Cloud Computing (Cloud'17), Honolulu, Hawaii, June 2017.

• Li Pan, Qingyang Wang, Liang Li, Shijun Liu, and Dahui Chen. "An Experimental Study of the Impact of vCPU Provisioning on the Performance of a 2-Tier Application Running in Cloud." In Proc. of the 10th International Conference On Cloud Computing (Cloud'17), Honolulu, Hawaii, June 2017. (Application track)

• Jinlai Xu and Balaji Palanisamy, Heiko Ludwig, and Qingyang Wang. "Zenith: Utility-aware Resource Allocation for Edge Computing", In Proc. of 1st IEEE International Conference on Edge Computing (IEEE EDGE 2017), Honolulu, Hawaii, June 2017.

2016

• Junhee Park, Qingyang Wang Jack Li, Chien-An Lai, Tao Zhu, Calton Pu, “Performance Interference of Memory Thrashing in Virtualized Cloud Environments: A Study of consolidated n-Tier Applications.” In Proc. of the 9th International Conference On Cloud Computing (Cloud'16), San Francisco, USA, July 2016. (Acceptance rate: 15%) (Runner-Up for Best Paper Award)

• Kisung Lee, Ling Liu, Raghu K. Ganti, Mudhakar Srivatsa, Qi Zhang, Yang Zhou, and Qingyang Wang. “Lightweight Indexing and Querying Services for Big Spatial Data.” IEEE Transactions on Services Computing (TSC 2016)

2015

• Qi Fan, Qingyang Wang. “Performance Comparison of Web Servers with Different Architectures: A Case Study using High Concurrency Workload”, In Proc. of the 3rd IEEE Workshop on Hot Topics in Web Systems and Technologies (HotWeb'15), Washington, D.C., USA, November 2015.

• Brian Peterson, Gerald Baumgartner, Qingyang Wang. “A Hybrid Cloud Framework for Scientific Computing”, In Proc. of the 8th International Conference On Cloud Computing (Cloud'15), New York City, USA, July 2015. (Acceptance rate: 15%)

2014

• Qingyang Wang, Yasuhiko Kanemasa, Jack Li,Chien-An Lai, Chien-An Cho, Yuji Nomura, Calton Pu. “Lightning in the Cloud: A Study of Very Short Bottlenecks on n-Tier Web Application Performance.” In Proc. of USENIX Conference on Timely Results in Operating Systems (TRIOS'14), co-located with OSDI’14, Colorado, USA, October 2014. [presentation]

• Jack Li, Qingyang Wang, Chien-An Lai, Junhee Park, Daisaku Yokoyama, Calton Pu, “The Impact of Software Resource Allocation on Consolidated n-Tier Applications”, In Proc. of the 7th International Conference On Cloud Computing (Cloud'14), Alaska, USA, June 2014.(Acceptance rate: 20%)

• Chien-An Lai, Qingyang Wang, Josh Kimball,Jack Li, Junhee Park, Calton Pu, “IO Performance Interference among Consolidated n-Tier Applications: Sharing is Better than Isolation for Disks”, In Proc. of the 7th International Conference On Cloud Computing (Cloud'14), Alaska, USA June 2014.(Acceptance rate: 20%)

2013

• Qingyang Wang, Yasuhiko Kanemasa, Jack Li, Chien An Lai, Masazumi Matsubara, Calton Pu. “Impact of DVFS on n-Tier Application Performance.” In Proc. of ACM Conference on Timely Results in Operating Systems (TRIOS'13), collocated with SOSP’13, Pennsylvania, November 2013.[ppt]

• Qingyang Wang, Yasuhiko Kanemasa, Jack Li, Deepal Jayasinghe, Toshihiro Shimizu, Masazumi Matsubara, Motoyuki Kawaba, Calton Pu. “Detecting Transient Bottlenecks in n-Tier Applications through Fine-Grained Analysis.” In Proc. of the 33rd International Conference on Distributed Computing Systems (ICDCS'13), Philadelphia, Pennsylvania, July 2013.(Acceptance rate: 61/464=13.1%). [ppt]

• Qingyang Wang, Yasuhiko Kanemasa, Jack Li, Toshihiro Shimizu, Masazumi Matsubara, Motoyuki Kawaba, Calton Pu. “Rapidly Alternating Bottlenecks: A Study of Two Cases in n-Tier Applications.” International Journal of Cloud Computing (IJCC), 1(1), pp. 13-25. 2013. (Extension of the Cloud'13 paper)

• Qingyang Wang, Yasuhiko Kanemasa, Jack Li, Deepal Jayasinghe, Toshihiro Shimizu, Masazumi Matsubara, Motoyuki Kawaba, Calton Pu. “An Experimental Study of Rapidly Alternating Bottlenecks in n-Tier Applications.” In Proc. of the 6th International Conference On Cloud Computing (Cloud'13), Santa Clara, CA, July 2013. (Acceptance rate: 19%) (Runner-Up for Best Student Paper Award)[ppt]

• Yasuhiko Kanemasa, Qingyang Wang, Jack Li, Masazumi Matsubara, Calton Pu. “Revisiting Performance Interference among Consolidated n-Tier Applications: Sharing is Better than Isolation.” In Proc. of the 10th International Conference on Services Computing (SCC'13), Santa Clara, CA, July 2013.

• Junhee Park, Qingyang Wang, Deepal Jayasinghe, Jack Li, Yasuhiko Kanemasa, Masazumi Matsubara, Calton Pu. “Variations in Performance Measurements of Multi-Core Processors: A Study of n-Tier Applications.” In Proc. of the 10th International Conference on Services Computing (SCC'13), Santa Clara, CA, July 2013.

• Jack Li, Qingyang Wang, Deepal Jayasinghe, Junhee Park, Tao Zhu, Calton Pu. “Performance Overhead Among Three Hypervisors: An Experimental Study using Hadoop Benchmarks.” In Proc. of the 2nd International Congress on Big Data (BigData Congress'13), Santa Clara, CA, July 2013.

• Deepal Jayasinghe, Simon Malkowski, Jack Li, Qingyang Wang, Zhikui Wang, Calton Pu. “Variations in Performance and Scalability: An Experimental Study in IaaS Clouds using Multi-Tier Workloads.” IEEE Transactions on Services Computing (TSC), 2013.

2012

• Qingyang Wang, Yasuhiko Kanemasa, Motoyuki Kawaba, Calton Pu. “When Average is Not Average: Large Response Time Fluctuations in n-Tier Systems.” In Proc. of the 9th IEEE/ACM International Conference on Autonomic Computing 2012 (ICAC'12), San Jose, California, Sept. 2012.(Acceptance rate: 15/62= 24.1%)[ppt]

• Qingyang Wang, Yasuhiko Kanemasa, Jack Li, Deepal Jayasinghe, Motoyuki Kawaba, Calton Pu. “Response Time Reliability in Cloud Environments: An Empirical Study of n-Tier Applications at High Resource Utilization.” In Proc. of the 31st International Symposium on Reliable Distributed Systems (SRDS'12), Short paper, Irvine, California, Oct. 2012.(Acceptance rate: 28/140= 20%)

• Jack Li, Qingyang Wang, Yasuhiko Kanemasa, Deepal Jayasinghe, Simon Malkowski, Pengcheng Xiong, Motoyuki Kawaba, Calton Pu. “Profit-Based Experimental Analysis of IaaS Cloud Performance: Impact of Software Resource Allocation.” In Proc. of International Conference on Services Computing (SCC'12), Honolulu, Hawaii, USA, June. 2012.

• Pengcheng Xiong, Jialie Shen, Qingyang Wang, Deepal Jayasinghe, Jack Li and Calton Pu. “NBS: A Network-Bandwidth-Aware Streaming Version Switcher for Mobile Streaming Applications under Fuzzy Logic Control.” In Proc. of IEEE International Conference On Mobile Services (MS'12), Honolulu, Hawaii, USA, June. 2012.

• Deepal Jayasinghe, Galen Swint, Simon Malkowski, Jack Li, Qingyang Wang, Junhee Park, Calton Pu. “Expertus: A Generator Approach to Automate Performance Testing in IaaS Clouds.” In Proc. of IEEE International Conference On Cloud Computing (Cloud'12), Honolulu, Hawaii, USA, June. 2012.

• Simon Malkowski, Yasuhiko Kanemasa, Hanwei Chen, Masao Yamamoto, Qingyang Wang, Deepal Jayasinghe, Masao Yamamoto, Motoyuki Kawaba, Calton Pu. “Challenges and Opportunities in Consolidation at High Resource Utilization: Non-monotonic Response Time Variations in n-Tier Applications.” In Proc. of IEEE International Conference On Cloud Computing (Cloud'12), Honolulu, Hawaii, USA, June. 2012.

2011

• Qingyang Wang, Simon Malkowski, Yasuhiko Kanemasa, Deepal Jayasinghe, Pengcheng Xiong, Calton Pu, Motoyuki Kawaba,Lilian Harada. “The Impact of Soft Resource Allocation on n-Tier Application Scalability.” In Proc. of the 25th IEEE International Symposium on Parallel and Distributed Processing (IPDPS'11), May 2011.(Acceptance rate: 112/571=19.6%)[ppt]

• Deepal Jayasinghe, Simon Malkowski, Qingyang Wang, Jack Li, Pengcheng Xiong, Calton Pu. “Variations in Performance and Scalability When Migrating N-tier Applications to Different Clouds.” In Proc. of IEEE International Conference On Cloud Computing (Cloud'11), Jun 21-24. (Best Student Paper Award)

• Pengcheng Xiong, Zhikui Wang, Simon Malkowski, Qingyang Wang, Deepal Jayasinghe, Calton Pu. “Economical and Robust Provisioning of N-Tier Cloud Workloads: A Multi-level Control Approach.” In Proc. of IEEE International Conference On Distributed Computing Systems (ICDCS'11), Jun 21-24.(Acceptance rate: 87/565= 15.4%)

• Yasuhiko Kanemasa, Qingyang Wang, and Calton Pu “Information processing apparatus and load control method”, U.S. Patent 9,436,265, issued September 6, 2016.

• Yasuhiko Kanemasa, Calton Pu, Qingyang Wang, “Computer Program, Method, and Information Processing Apparatus for Analyzing Performance of Computer System”, US Patent 8,984,125, 2015/3/17

• Yasuhiko Kanemasa, Motoyuki Kawaba, Calton Pu, Qingyang Wang, “Information Processing Apparatus, Computer Program, and Method for Controlling Execution of Jobs”, US Patent 9,189,272, 2015/11/17

• Yasuhiko Kanemasa, Motoyuki Kawaba, Calton Pu, Qingyang Wang, “Method, Computer Program, and Information Processing Apparatus for Analyzing Performance of Computer System”, US Patent App. 13/373,047, 2013/5/9

• ICDCS'21, Program Vice Co-Chair (security and privacy track)
• Cloud'19, PC co-chair
• ICDCS'19, 18, 17, PC member
• ICAC'19, PC member
• ICWS'18, Program Vice Chair
• Cloud'18, PC member
• IEEE Cloud'17, 16, 15, PC member
• IEEE Cloud'15, Area Chair in performance, scalability, and reliability
• ICPP'16, PC member, track on Data Centers and Cloud Computing
• HotWeb'17, 15, PC member
• IEEE ICPADS'16, PC member
• IEEE BigData Congress'16, Area Chair, track on systems, algorithms, architectures
• CollabCloud'14, PC member
• Journal reviews: IEEE Transactions on Services Computing (TSC), IEEE Transactions on Computers (TC), IEEE Transactions on Parallel and Distributed Systems (TPDS), Journal of Parallel and Distributed Computing (JPDC), ACM Transactions on Modeling and Performance Evaluation of Computing Systems (TOMPECS)
• Associate editor of the International Journal of Cloud Computing

• Short Bio
• 05/2009-08/2009 Summer Research Intern at IntercontinentalExchange, Inc (Mentor: Vince Via)
• 05/2008-08/2008 Summer Research Intern at IBM T.J.Watson Research Lab (Mentor: Ajay Mohindra and Arun K. Iyengar)
• 07/2006-10/2006 Summer Intern student at IBM China Research Lab (Mentor: Shao Chun Li and Ying Li)

• Jianshu Liu, PhD
• Xuhang Gu, PhD

• Shungeng Zhang, PhD (graduated in 2021, first employment: assistant professor at Augusta University)
• Huasong Shan, PhD (graduated in 2018, first employment: JD.com, Inc. at Silicon Valley)
• Brian Peterson, PhD (graduated in 2017, co-advise with Dr. Gerald Baumgartner, first employment: MathWorks, Inc..)
• Chui Hui Chiu, PhD (graduated in 2017, co-advise with Dr. Seung-Jong Park, first employment: Futurewei Technologies, Inc.)
• Yen-Jung (Iris) Chen, M.S. (graduated in 2018, first employment: Code Willing, LLC)
• Grant Bourque, B.S. (graduated in 2016, first employment: in Anedot, Inc.)
• Hui Chen, (PhD student at LSU betwen 2015 and 2016, first employment: Huawei at Shenzhen)
• Qi Fan, M.S. (graduated in 2015, first employment: Microsoft at Seattle)