- Title Assistant Professor
- Office MCS 206
- Email firstname.lastname@example.org
- Education PhD, KTH Royal Institute of Technology
MS, Polytechnic University of Catalonia
Vasiliki (Vasia) Kalavri joined the Computer Science department Boston University in Fall 2019. She was previously a member of the Systems group as a Postdoctoral Fellow at ETH Zürich to work on Strymon, a system for predictive datacenter analytics. Vasiliki completed her PhD at the Royal Institute of Technology, Stockholm, and the Catholic University of Louvain, Belgium, where she was an EMJD-DC fellow.
Vasiliki’s research interests include distributed data processing, streaming computation, and large-scale graph analysis. She is a committer and PMC member of Apache Flink and co-author of the Stream Processing with Apache Flink book. Vasiliki also holds degrees from the National Technical University of Athens (2010) and the Polytechnic University of Catalonia (2012)
V. Kalavri, J. Liagouris, M. Hoffmann, D. Dimitrova, M. Forshaw, T. Roscoe, “Three steps is all you need: fast accurate, automatic scaling decisions for distributed streaming dataflows“, in 13th USENIX Symposium on Operating Systems Design and Implementation (OSDI) 2018.
Z. Abbas, V. Kalavri, P. Carbone, V. Vlassov, “Streaming Graph Partitioning: An Experimental Study“, in Proc. VLDB Endow. 11, 11 (June 2018).
M. Hoffmann, A. Lattuada, J. Liagouris, V. Kalavri, D. Dimitrova, S. Wicki, Z. Chothia, T. Roscoe, “SnailTrail: Generalizing Critical Paths for Online Analysis of Distributed Dataflows“, in 15th USENIX Symposium on Networked Systems Design and Implementation (NSDI ’18).
V. Kalavri, V. Vlassov and S. Haridi, “High-Level Programming Abstractions for Distributed Graph Processing” in IEEE Transactions on Knowledge and Data Engineering, vol. 30, no. 2, pp. 305-324, Feb. 1 2018.
For a full record of Vasiliki’s publications, please visit her Google Scholar Page.