News
CASPLab members present posters at NEDB Day 2025
CASPLab students participated in the North East Database Day 2025 conference with two posters: 1. Zikun Wang, Yuanli Wang, Lei Huang, Sakshi Sharma, John Liagouris, Vasiliki Kalavri. "Zero-downtime reconfiguration mechanisms for dynamic data stream processing" 2. Han Dong, Yuanli Wang, Jonathan Appavoo, Vasiliki Kalavri. "Co-optimizing Performance and Power in Stream Processing Systems"
Talia Chen is a finalist of the SIGOPS SRC at SOSP’24
Talia Chen participated in the Student Research Competition of SOSP'24, undergraduate category, with a poster of her work, "Scaling GNN Sampling on Large-Scale Graphs with io_uring". Talia made it to the final round, where she gave a short presentation in front of the judges and SOSP attendees. Congratulations, Talia!
Paper accepted at EuroSys’25
Our paper "CAPSys: Contention-aware task placement for data stream processing" was accepted at EuroSys'25! We performed an empirical evaluation study to show that task placement not only significantly affects streaming query performance but also the convergence and accuracy of auto-scaling controllers. To address this issue, we propose CAPSys, an adaptive resource... More
Best Short Paper Award at DaMoN’24
Our paper “In situ neighborhood sampling for large-scale GNN training” received the best short paper award at DaMoN’24. Congratulations to all authors!
CASP Lab goes to SIGMOD’24 with a demo and a DaMoN paper
Members of the CASP Lab will present two recent works at the upcoming ACM SIGMOD'24 conference, in Santiago, Chile: QueryShield: Cryptographically Secure Analytics in the Cloud, was accepted at the SIGMOD'24 Demos track. In situ neighborhood sampling for large-scale GNN training, was accepted at the Data Management on New Hardware... More
Paper accepted at EDBT’24
Our paper "Crayfish: Navigating the Labyrinth of Machine Learning Inference in Stream Processing Systems" was accepted for presentation at the 27th International Conference on Extending Database Technology (EDBT '24). We contribute a principled benchmarking framework to help navigate the chaos in streaming ML inference.
Vasia Kalavri recognized as a Confluent Community Catalyst
Vasia Kalavri was nominated and accepted to become a Confluent Community Catalyst for the class of 23-24.
Three new PhD students join the CASPLab
This fall, we welcome three new PhD students to the group: Naima Abrar Shami, Eli Baum, and Sam Buxbaum.
New research award from NSF
PI Vasia Kalavri has received an NSF award to support her project "Scaling Graph Machine Learning Workloads on Modern Storage" for the next 3 years.
Vineet Raju and Iman Attia join the CASP lab this summer
We are excited to welcome Vineet Raju, UROP grant recipient, and Iman Attia, senior at The American University in Cairo, as research assistants this summer. Vineet and Iman will be working on the Secrecy project.