Research Topics
A common research theme is to develop efficient and effective modeling and simulation techniques for studying computer systems and computer networks, in particular, high-performance computing (HPC) systems and large-scale computer networks. General research topics include:
- Designing effective models for simulating large-scale systems
- Developing parallel simulation for modeling large-scale systems
- Applying data analyses for understanding complex behaviors
Specific research areas are listed as follows:
A. HPC Modeling and Simulation:
- Scalable HPC simulation models, including system architectures and scientific applications
- Job scheduling and resource provisioning algorithms
- HPC power models and energy-efficient methods
Click here for recent publications in this area
- IMCSim: Parameterized Performance Prediction for Implicit Monte Carlo Codes, Gopinath Chennupathi, Stephan Eidenbenz, Alex Long, Olena Tkachenko, Joseph Zerr, and Jason Liu. 2018 Winter Simulation Conference (WSC 2018), December 2018 (to appear).
- Program Power Profiling Based on Phase Behaviors, Xiaobin Ma, Zhihui Du, and Jason Liu. Sustainable Computing, Informatics and Systems, 2018 (to appear).
- Enabling Demand Response for HPC Systems Through Power Capping and Node Scaling, Kishwar Ahmed, Jason Liu, and Kazutomo Yoshii. 20th IEEE International Conference on High Performance Computing and Communications (HPCC-2018). June 2018 (to appear).
- Parallel Application Performance Prediction Using Analysis Based Models and HPC Simulations, Mohammad Abu Obaida, Jason Liu, Gopinath Chennupati, Nandakishore Santhi, and Stephan Eidenbenz. 2018 SIGSIM Principles of Advanced Discrete Simulation (SIGSIM-PADS’18), May 2018.
- Simulation of HPC Job Scheduling and Large-Scale Parallel Workloads, Mohammad Abu Obaida and Jason Liu. 2017 Winter Simulation Conference (WSC 2017), December 2017.
- A Brief History of HPC Simulation and Future Challenges, Kishwar Ahmed, Jason Liu, Abdel-Hameed Badawy, and Stephan Eidenbenz. 2017 Winter Simulation Conference (WSC 2017), December 2017.
- An Energy Efficient Demand-Response Model for High Performance Computing Systems, Kishwar Ahmed, Jason Liu, and Xingfu Wu. 25th IEEE International Symposium on the Modeling, Analysis, and Simulation of Computer and Telecommunication Systems (MASCOTS 2017), September 2017.
- When Good Enough Is Better: Energy-Aware Scheduling for Multicore Servers, Xinning Hui, Zhihui Dua, Jason Liu, Hongyang Sun, Yuxiong He, David A. Bader. 13th Workshop on High-Performance, Power-Aware Computing (HPPAC), held in conjunction with 31st IEEE International Parallel and Distributed Processing Symposium (IPDPS 2017), May 2017.
- Scalable Interconnection Network Models for Rapid Performance Prediction of HPC Applications, Kishwar Ahmed, Jason Liu, Stephan Eidenbenz, and Joe Zerr. 18th International Conference on High Performance Computing and Communications (HPCC 2016), December 2016.
- Fast and Effective Power Profiling of Program Execution Based on Phase Behaviors, Xiaobin Ma, Zhihui Du and Jason Liu. 1st International Workshop on Resilience and/or Energy-Aware Techniques for High-Performance Computing (RE-HPC 2016), held in conjunction with the 7th International Green and Sustainable Computing Conference (IGSC 2016), November 2016.
- Toward Integrated Multi-Resolution HPC Modeling for Rapid Performance Prediction (An Abstract), Jason Liu and Stephan Eidenbenz. 2016 Workshop on Modeling and Simulation of Systems and Applications (ModSim 2016), August 2016.
- An Integrated Interconnection Network Model for Large-Scale Performance Prediction, Kishwar Ahmed, Mohammad Obaida, Jason Liu, Stephan Eidenbenz, Nandakishore Santhi, and Guillaume Chapuis. 2016 ACM SIGSIM Conference on Principles of Advanced Discrete Simulation (SIGSIM-PADS 2016), May 2016.
B. Network Modeling, Simulation, Emulation, and Testbeds:
- Parallel network simulators for internet, wireless networks, and mobile ad-hoc networks
- High-performance traffic models for at-scale network studies
- Real-time simulation for interactive and hybrid network experimentation
- Performance modeling of data center networks, software-defined networks, future internet.
Click here for representative publications in this area
- On Improving Parallel Real-Time Network Simulation for Hybrid Experimentation of Software Defined Networks, Mohammad Abu Obaida and Jason Liu. 10th EAI International Conference on Simulation Tools and Techniques (SIMUTOOLS 2017), September 2017.
- Distributed Mininet with Symbiosis, Rong Rong and Jason Liu. IEEE International Conference on Communications (ICC 2017), May 2017.
- Symbiotic Network Simulation and Emulation, Miguel Erazo, Rong Rong, and Jason Liu. ACM Transactions on Modeling and Computer Simulation (TOMACS), 26(1), Article No. 2, December 2015.
- Cluster-Based Spatiotemporal Background Traffic Generation for Network Simulation, Ting Li and Jason Liu. ACM Transactions on Modeling and Computer Simulation (TOMACS), 25(1), Article No. 4, January 2015.
- GPU-Assisted Hybrid Network Traffic Model, Jason Liu, Yuan Liu, Zhihui Du, and Ting Li. ACM SIGSIM Conference on Principles of Advanced Discrete Simulation (SIGSIM-PADS 2014), May 2014.
- PrimoGENI for Hybrid Network Simulation and Emulation Experiments in GENI, Nathanael Van Vorst, Miguel Erazo, and Jason Liu, Journal of Simulation, 6:179- 192, August 2012.
- Toward Scalable Routing Experiments with Real-Time Network Simulation, Yue Li, Jason Liu, and Raju Rangaswami. 22nd Workshop on Principles of Advanced and Distributed Simulation (PADS ’08), June 2008.
- SVEET! A Scalable Virtualized Evaluation Environment for TCP, Miguel Erazo, Yue Li, and Jason Liu. 5th International Conference on Testbeds and Research Infrastructures for the Development of Networks and Communities (TridentCom’09), April 2009.
- Parallel Hybrid Network Traffic Models, Jason Liu and Yue Li. Simulation: Transactions of the Society for Modeling and Simulation International, 85(4):271- 286, April 2009.
- A Real-Time Network Simulation Infrastructure based on OpenVPN, Jason Liu, Yue Li, Nathanael Van Vorst, Scott Mann, and Keith Hellman, Journal of Systems and Software, 82(3):473-485, March 2009.
C. Parallel Discrete-Event Simulation:
- Parallel simulation tools for large complex systems
- Parallel simulation synchronization algorithms
Click here for representative publications in this area
- Just-In-Time Parallel Simulation, Christopher Hannon, Nandakishore Santhi, Stephan Eidenbenz, Jason Liu, and Dong Jin. 2018 Winter Simulation Conference (WSC 2018), December 2018 (to appear).
- The Simian Concept: Parallel Discrete Event Simulation with Interpreted Languages and Just-in-Time Compilation, Nandakishore Santhi, Stephan Eidenbenz, and Jason Liu. 2015 Winter Simulation Conference (WSC 2015), December 2015.
- Real-Time Scheduling of Logical Processes for Parallel Discrete-Event Simulation, Jason Liu. 2013 Winter Simulation Conference (WSC 2013), December 2013.
- Hierarchical Composite Synchronization, Jason Liu and Rong Rong. 26th Workshop on Principles of Advanced and Distributed Simulation (PADS 2012), July 2012.
- Lookahead Revisited in Wireless Network Simulations, Jason Liu and David M. Nicol. 16th Workshop on Parallel and Distributed Simulation (PADS’02), May 2002.
- Composite Synchronization in Parallel Discrete-Event Simulation, David M. Nicol and Jason Liu. IEEE Transactions on Parallel and Distributed Systems, 13(5):433- 446, May 2002.
- Lock-Free Scheduling of Logical Processes in Parallel Simulation, Jason Liu, David M. Nicol, and King Tan. 15th Workshop on Parallel and Distributed Simulation (PADS’01), May 2001.
- Learning Not to Share, Jason Liu and David M. Nicol. 15th Workshop on Parallel and Distributed Simulation (PADS’01), May 2001.
- The Dark Side of Risk (What Your Mother Never Told You about Time Warp), David M. Nicol and Xiaowen Liu. 11th Workshop on Parallel and Distributed Simulation (PADS’97), May 1997.
D. Other Areas:
- Data analytics
- Machine learning applications
- Operating systems: file systems, I/O, caching, and virtualization
- Cybersecurity
- Other topics
Click here for recent publications in these areas
- Analysis of MOOC Learning Rhythms, Jingjing He, Chang Men, Senbiao Fang, Zhihui Du, Jason Liu, and Manli Li. 4th IEEE International Conference on Data Science and Systems (DSS-2018), June 2018 (to appear).
- Driving Cache Replacement with ML-based LeCaR, Giuseppe Vietri, Liana V. Rodriguez, Wendy A. Martinez, Steven Lyons, Jason Liu, Raju Rangaswami, Giri Narasimhan, and Ming Zhao. 10th USENIX Workshop on Hot Topics in Storage and File Systems (HotStorage’18). July 2018 (to appear).
- A Toolset for Detecting Containerized Application’s Dependencies in CaaS Clouds, Pinchao Liu, Liting Hu, Hailu Xu, Zhiyuan Shi, Jason Liu, Qingyang Wang, Jai Dayal, and Yuzhe Tang. 2018 IEEE International Conference on Cloud Computing (IEEE CLOUD 2018), July 2018 (to appear).
- Investigating the Statistical Distribution of Learning Coverage in MOOCs, Xiu Li, Chang Men, Zhihui Du, Jason Liu, Manli Li, and Xiaolei Zhang. Information 2017, 8(4):153, November 2017.
- Real-Time Anomaly Detection of Short Time-Scale GWAC Survey Light Curves, Tianzhi Feng, Zhihui Du, Yankui Sun, Jianyan Wei, Jing Bi, and Jason Liu. 6th IEEE International Congress on Big Data, June 2017.
- Zipf’s Law in MOOC Learning Behavior, Chang Men, Xiu Li, Zhihui Du, Jason Liu, Manli Li, and Xiaolei Zhang. 2nd IEEE International Conference on Big Data Analysis (ICBDA 2017), March 2017.
- Panel – Reproducible Research in Discrete-Event Simulation – A Must or a Rather Maybe?Adelinde M. Uhrmacher, Sally Brailsford, Jason Liu, Markus Rabe, and Andreas Tolk. 2016 Winter Simulation Conference (WSC 2016), December 2016.
- To ARC or Not to ARC, Ricardo Santana, Steven Lyons, Ricardo Koller, Raju Rangaswami, and Jason Liu. 7th USENIX Workshop on Hot Topics in Storage and File Systems (HotStorage 2015), July 2015.
Funded Projects
Current Projects:
- Center for Advancing Education and Studies on Critical Infrastructures Resilience (CAESCIR), US Department of Homeland Security, with other faculty from FIU SCIS, 2017-2022.
- NVM-Enabled Host-Side Caches, National Science Foundation, with Raju Rangaswami, Ming Zhao (ASU), and Giri Narasimhan, 2016-2019.
Some Past Projects:
- SwitchOn – Exploring and Strengthening US-Brazil Collaborations in Future Internet Research, National Science Foundation, with Julio Ibarra and Heidi Morgan, 2015-2018.
- Security Analyses and Applications of Complex Networks: From Theory to Practice, Florida Center for Cybersecurity at University of South Florida, with Mainak Chatterjee (UCF), 2016-2017.
- Creating and Composing SDN Security Modules, Florida Center for Cybersecurity at University of South Florida, with Kaiqi Xiong (USF), Xin Sun (Ball State University), and Wei Zeng. 2016-2017.
- Scalable Discrete Event Simulation for Performance Prediction, Los Alamos National Laboratory, 2015-2017.
- Vulnerability and Survivability of Cyberspace: Basic Science to Applications, Florida Center for Cybersecurity at University of South Florida, with Ming Zhao (ASU) and Mainak Chatterjee (UCF), 2015-2016.
- Enabling Time-sensitive Applications on Virtualized Computing Systems, Department of Defense, with Ming Zhao (ASU), 2013-2017.
- PrimoGENI Constellation for Distributed At-Scale Hybrid Network Experimentation, National Science Foundation, Raytheon/GENI Project Office, 2013-2015.
- SoftPM: Streamlining High-End Computing with Software Persistent Memory, National Science Foundation, with Raju Rangaswami and Ming Zhao (ASU), 2010-2013.
- PrimoGENI–Developing GENI Aggregates for Real-time Large-scale Network Simulation, National Science Foundation and Raytheon/GENI Project Office, with Julio Ibarra and Heidi Alvarez, 2009-2013.
- Immersive Large-Scale Network Simulations, National Science Foundation, 2006-2012.
