The paper “CryptDough: A unified analytics engine for secure multiparty computation” by Muhammad Faisal, Alessandra Lanz, Sam Buxbaum, Adam Godel, Vasiliki Kalavri, Mayank Varia, and John Liagouris will appear at SOSP’26. The paper “ConRAD: Conformal Risk-Aware Neural Databases” by Sonia Horchidan, Fabian Zeiher, Xiangyu Shi, Vasiliki Kalavri, Henrik Boström, Ioannis Kontoyiannis, and Paris Carbone, will […]
“ORQ: Scaling Complex Multiparty Computations to Large Private Datasets” was invited by ACM TOCS for extended publication through recommendation by the Chairs of SOSP 2025!
The paper “Slowpoke: End-to-end Throughput Optimization Modeling for Microservice Applications” by Yizheng Xie, Di Jin, Oğuzhan Çölkesen, Vasiliki Kalavri, John Liagouris, and Nikos Vasilakis was accepted for presentation at USENIX NSDI’26. You can read the paper here and try out the code.
The following paper was accepted at SOSP 2025: ORQ: Complex analytics on private data with strong security guarantees. Eli Baum, Sam Buxbaum, Nitin Mathai, Muhammad Faisal, Vasiliki Kalavri, Mayank Varia, John Liagouris. The 31st Symposium on Operating Systems Principles (SOSP 2025).
The following paper was accepted for presentation at VLDB’25 (industrial track): Disaggregated State Management in Apache Flink 2.0. Yuan Mei, Zhaoqian Lan, Lei Huang, Yanfei Lei, Han Yin, Rui Xia, Kaitian Hu, Paris Carbone, Vasiliki Kalavri, Feng Wang. Proceedings of the VLDB Volume 18 (VLDB’25).
The following paper was accepted for presentation at ACM HotStorage’25: RingSampler: GNN sampling on large-scale graphs with io_uring. Qixuan Chen, Yuhang Song, Melissa Martinez, Vasiliki Kalavri. 17th ACM Workshop on Hot Topics in Storage and File Systems (HotStorage’25).
The following paper was accepted for presentation at the GRADES-NDA’25 workshop (co-located with SIGMOD’25): Bridging GNN Inference and Dataflow Stream Processing: Challenges and Opportunities. by Naima Abrar Shami and Vasiliki Kalavri. 8th Joint Workshop on Graph Data Management Experiences & Systems (GRADES) and Network Data Analytics (NDA) (GRADES-NDA’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 controller for dataflow stream […]
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 (DaMoN’24) workshop.
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.