Publications

Eli Baum, Sam Buxbaum, Nitin Mathai, Muhammad Faisal, Vasiliki Kalavri, Mayank Varia, and John Liagouris. ORQ: Complex analytics on private data with strong security guarantees. Distinguished Artifact Award. The 31^st Symposium on Operating Systems Principles (SOSP’25). [pdf] [code]
Yuan Mei, Zhaoqian Lan, Lei Huang, Yanfei Lei, Han Yin, Rui Xia, Kaitian Hu, Paris Carbone, Vasiliki Kalavri, Feng Wang. Disaggregated State Management in Apache Flink 2.0. Proceedings of the VLDB Volume 18 (VLDB’25) [pdf].
Yuanli Wang, Lei Huang, Zikun Wang, Vasiliki Kalavri, and Ibrahim Matta. CAPSys: Contention-aware task placement for data stream processing. In the Twentieth European Conference on Computer Systems (EuroSys ’25). [pdf] [code]
Qixuan Chen, Yuhang Song, Melissa Martinez, and Vasiliki Kalavri. RingSampler: GNN sampling on large-scale graphs with io_uring. In the 17th ACM Workshop on Hot Topics in Storage and File Systems (HotStorage’25). [code] [doi]
Naima Abrar Shami and Vasiliki Kalavri. Bridging GNN Inference and Dataflow Stream Processing: Challenges and Opportunities. In the 8th Joint Workshop on Graph Data Management Experiences & Systems (GRADES) and Network Data Analytics (NDA). (GRADES-NDA’25, co-located with SIGMOD’25). [code][doi]

Ethan Seow, Yan Tong, Eli Baum, Sam Buxbaum, Muhammad Faisal, John Liagouris, Vasiliki Kalavri, and Mayank Varia. QueryShield: Cryptographically Secure Analytics in the Cloud. In the 2024 International Conference on Management of Data (SIGMOD/PODS ’24). [pdf] [code]
Yuhang Song, Po Hao Chen, Yuchen Lu, Naima Abrar and Vasiliki Kalavri. In situ neighborhood sampling for large-scale GNN training. Best Short Paper Award. In Proceedings of the 20th International Workshop on Data Management on New Hardware (DaMoN ’24). [pdf] [code]
Sonia Horchidan, Po Hao Chen, Emmanouil Kritharakis, Paris Carbone and Vasiliki Kalavri. Crayfish: Navigating the Labyrinth of Machine Learning Inference in Stream Processing Systems. In the 27th International Conference on Extending Database Technology (EDBT’24). [pdf] [code]

Marios Fragkoulis, Paris Carbone, Vasiliki Kalavri, and Asterios Katsifodimos. A Survey on the Evolution of Stream Processing Systems. In the VLDB Journal. [pdf] [cite]
Muhammad Faisal, Jerry Zhang, John Liagouris, Vasiliki Kalavri, and Mayank Varia. TVA: A multi-party computation system for secure and expressive time series analytics. In 32nd USENIX Security Symposium (Security’23). [pdf] [technical report] [code]
John Liagouris, Vasiliki Kalavri, Muhammad Faisal and Vayank Varia. Secrecy: Secure collaborative analytics in untrusted clouds. In 20th USENIX Symposium on Networked Systems Design and Implementation (NSDI’23). [pdf] [code]

Michał Zwolak, Zainab Abbas, Sonia Horchidan, Paris Carbone and Vasiliki Kalavri. GCNSplit: Bounding the State of Streaming Graph Partitioning. In Proceedings of the International Workshop on Exploiting Artificial Intelligence Techniques for Data Management 2022 (aiDM’22, co-located with SIGMOD’22). [pdf]
Sonia Horchidan, Emmanouil Kritharakis, Vasiliki Kalavri, Paris Carbone. Evaluating Model Serving Strategies over Streaming Data. Best Paper Award. In Proceedings of the International Workshop on Data Management for End-to-End Machine Learning 2022 (DEEM’22, co-located with SIGMOD’22). [pdf]
Yuanli Wang, Baiqing, Lyu and Vasiliki Kalavri. The Non-Expert Tax: Quantifying the cost of auto-scaling in Cloud-based data stream analytics. In Proceedings of the International Workshop on Big Data in Emergent Distributed Environments 2022 (BiDEDE’22, co-located with SIGMOD’22). [pdf] [cite]
Esmail Asyabi, Yuanli Wang, John Liagouris, Vasiliki Kalavri, and Azer Bestavros. 2022. A new benchmark harness for systematic and robust evaluation of streaming state stores. In Proceedings of the Seventeenth European Conference on Computer Systems (EuroSys ’22). [pdf]
Massimo Perini, Giorgia Ramponi, Paris Carbone and Vasiliki Kalavri. Learning on Streaming Graphs with Experience Replay. In Proceedings of the 37th Annual ACM Symposium on Applied Computing. [preprint pdf].

M. Besta, M. Fischer, V. Kalavri, M. Kapralov and T. Hoefler. Practice of Streaming Processing of Dynamic Graphs: Concepts, Models, and Systems. In IEEE Transactions on Parallel and Distributed Systems, doi: 10.1109/TPDS.2021.3131677. [pdf]
Raza Ali, Matta Ibrahim, Akhtar Nabeel, Kalavri Vasiliki, Isahagian Vatche. SoK: Function-as-a-Service: From An Application Developer’s Perspective. In Journal of Systems Research (JSys). September 2021. [pdf]
Liagouris, J., Kalavri, V., Faisal, M. and Varia, M., 2021. Secrecy: Secure collaborative analytics on secret-shared data. arXiv preprint arXiv:2102.01048. [pdf]
Sakr S, Bonifati A, Voigt H, Iosup A et al. The Future is Big Graphs! A Community View on Graph Processing Systems. In Communications of the ACM, 2021 [pdf]

Fragkoulis, M., Carbone, P., Kalavri, V. and Katsifodimos, A., 2020. A Survey on the Evolution of Stream Processing Systems. arXiv preprint arXiv:2008.00842. [pdf]
Kalavri, V. and Liagouris, J., 2020. In support of workload-aware streaming state management. Outstanding New Research Direction Award. In 12th USENIX Workshop on Hot Topics in Storage and File Systems (HotStorage 20). [pdf]
Carbone, P., Fragkoulis, M., Kalavri, V. and Katsifodimos, A., 2020, June. Beyond analytics: The evolution of stream processing systems. In Proceedings of the 2020 ACM SIGMOD international conference on Management of data (pp. 2651-2658). [pdf]
Besta, M., Fischer, M., Kalavri, V., Kapralov, M. and Hoefler, T., 2020. Practice of streaming and dynamic graphs: Concepts, models, systems, and parallelism. Computing Research Repository (CoRR). [pdf]