The UTNS research group at the University of Texas at Austin works on foundational systems and networking problems that arise in supporting big data analytics, distributed machine learning, and large-scale distributed applications. Our work explores both theoretical underpinnings and system design/implementation, and builds on ideas from adjacent areas such as game theory, optimization, and formal methods.
News
Canopy got accepted at EuroSys 2026!
TraceLLM got accepted at EMNLP 2025!
ConfigBot got accepted at IROS 2025!
StitchLLM got accepted at ACL 2025!
HALoS and DSLA got accepted at ICML 2025!
TraceLLM got accepted at EMNLP 2025!
ConfigBot got accepted at IROS 2025!
StitchLLM got accepted at ACL 2025!
HALoS and DSLA got accepted at ICML 2025!
Featured projects
Featured publications
Canopy: Property-Driven Learning for Congestion Control
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EuroSys, 2026.
Large Language Models as Realistic Microservice Trace Generators
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EMNLP, 2025.
MTP: Transport for In-Network Computing
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NSDI, 2025.
Portable and High-Performance SmartNIC Programs with Alkali
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NSDI, 2025.
Towards End-to-End Latency Guarantee in MEC Live Video Analytics with App-RAN Mutual Awareness
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MobiSys, 2025.
ConfigBot: Adaptive Resource Allocation for Robot Applications in Dynamic Environments
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IROS, 2025.
Copper and Wire: Bridging Expressiveness and Performance for Service Mesh Policies
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ASPLOS, 2025.