| 2024 | IC2E | Domain-Aware Model Training as a Service for Use-Inspired Models. | Zichen Zhang, Christopher Stewart |
| 2022 | ICPP | Performance Modeling for Short-Term Cache Allocation. | Christopher Stewart, Nathaniel Morris, Lydia Y. Chen, Robert Birke |
| 2022 | Middleware | Bolt: Fast Inference for Random Forests. | Eduardo Romero, Christopher Stewart, Angela Li, Kyle C. Hale, Nathaniel Morris |
| 2022 | Middleware | Scalable distributed microservices for autonomous UAV swarms: poster abstract. | Kevyn Angueira Irizarry, Zichen Zhang, Christopher Stewart, Jayson Boubin |
| 2022 | SENSYS | Adaptive Deployment for Autonomous Agricultural UAV Swarms. | Jayson Boubin, Zichen Zhang, John Chumley, Christopher Stewart |
| 2021 | DSN | Avis: In-Situ Model Checking for Unmanned Aerial Vehicles. | Max Taylor, Haicheng Chen, Feng Qin, Christopher Stewart |
| 2019 | INFOCOM | RAFTing Over on Geo-Diverse Spot markets. | Zichen Xu, Christopher Stewart, Jiacheng Huang |
| 2019 | IWQoS | Elastic, geo-distributed RAFT. | Zichen Xu, Christopher Stewart, Jiacheng Huang |
| 2018 | CLOUD | SLO Computational Sprinting. | Nathaniel Morris, Indrajeet Saravanan, Pollyanna Cao, Jerry Ding, Christopher Stewart |
| 2018 | EuroSys | Model-driven computational sprinting. | Nathaniel Morris, Christopher Stewart, Lydia Y. Chen, Robert Birke, Jaimie Kelley |
| 2018 | FIE | Assessing Learning Behavior and Cognitive Bias from Web Logs. | Rashmi Rao, Christopher Stewart, Arnulfo Prez, Siva Meenakshi Renganathan |
| 2017 | CLOUD | Early work on modeling computational sprinting. | Nathaniel Morris, Christopher Stewart, Robert Birke, Lydia Y. Chen, Jaimie Kelley |
| 2017 | FIE | Preliminary results on an interactive learning tool for early algebra education. | Siva Meenakshi Renganathan, Christopher Stewart, Arnulfo Prez, Rashmi Rao, Bailey Braaten |
| 2017 | ICPP | A Pareto Framework for Data Analytics on Heterogeneous Systems: Implications for Green Energy Usage and Performance. | Aniket Chakrabarti, Srinivasan Parthasarathy, Christopher Stewart |
| 2016 | INFOCOM | Green- and heterogeneity-aware partitioning for data analytics. | Aniket Chakrabarti, Srinivasan Parthasarathy, Christopher Stewart |
| 2016 | INFOCOM | Blending on-demand and spot instances to lower costs for in-memory storage. | Zichen Xu, Christopher Stewart, Nan Deng, Xiaorui Wang |
| 2014 | IC2E | Managing Tiny Tasks for Data-Parallel, Subsampling Workloads. | Sundeep Kambhampati, Jaimie Kelley, Christopher Stewart, William C. L. Stewart, Rajiv Ramnath |
| 2012 | NOMS | Policy and mechanism for carbon-aware cloud applications. | Nan Deng, Christopher Stewart, Daniel Gmach, Martin F. Arlitt |
| 2010 | MASCOTS | EntomoModel: Understanding and Avoiding Performance Anomaly Manifestations. | Christopher Stewart, Kai Shen, Arun Iyengar, Jian Yin |
| 2009 | SIGMETRICS | Reference-driven performance anomaly identification. | Kai Shen, Christopher Stewart, Chuanpeng Li, Xin Li |
| 2008 | ASPLOS | Hardware counter driven on-the-fly request signatures. | Kai Shen, Ming Zhong, Sandhya Dwarkadas, Chuanpeng Li, Christopher Stewart, Xiao Zhang |
| 2008 | MASCOTS | Operational Analysis of Parallel Servers. | Terence Kelly, Kai Shen, Alex Zhang, Christopher Stewart |
| 2008 | USENIX | A Dollar from 15 Cents: Cross-Platform Management for Internet Services. | Christopher Stewart, Terence Kelly, Alex Zhang, Kai Shen |
| 2008 | SPAA | Operational analysis of processor speed scaling. | Kai Shen, Alex Zhang, Terence Kelly, Christopher Stewart |
| 2007 | EuroSys | Exploiting nonstationarity for performance prediction. | Christopher Stewart, Terence Kelly, Alex Zhang |
| 2006 | SIGCSE | Realism and simplicity: disk simulation for instructional OS performance evaluation. | Peter DeRosa, Kai Shen, Christopher Stewart, Jonathan Pearson |
| 2005 | Middleware | Adaptive middleware for dynamic component-level deployment. | Mick Jordan, Christopher Stewart |
| 2005 | NSDI | Performance Modeling and System Management for Multi-component Online Services. | Christopher Stewart, Kai Shen |
| 2005 | SOSP | Daphne: performance debugging using model-driven anomaly characterization. | Christopher Stewart, Kai Shen |