Vasiliki Kalavri

49 papers A* 3A 2B 2C 1Misc 3Journal 20Unranked 15
YearRankTypeTitle / Venue / Authors
2026 J jnl
Not All Neighbors Matter: Understanding the Impact of Graph Sparsification on GNN Pipelines.
CoRR
Yuhang Song, Naima Abrar Shami, Romaric Duvignau, Vasiliki Kalavri
2025 — conf
Bridging GNN Inference and Dataflow Stream Processing: Challenges and Opportunities.
GRADES/NDA
Naima Abrar Shami, Vasiliki Kalavri
2025 A conf
CAPSys: Contention-aware task placement for data stream processing.
EuroSys
Yuanli Wang, Lei Huang, Zikun Wang, Vasiliki Kalavri, Ibrahim Matta
2025 J jnl
Disaggregated State Management in Apache Flink 2.0.
Proc. VLDB Endow.
Yuan Mei, Zhaoqian Lan, Lei Huang, Yanfei Lei, Han Yin, Rui Xia, Kaitian Hu, Paris Carbone, Vasiliki Kalavri, Feng Wang
2025 A* conf
ORQ: Complex Analytics on Private Data with Strong Security Guarantees.
SOSP
Eli Baum, Sam Buxbaum, Nitin Mathai, Muhammad Faisal, Vasiliki Kalavri, Mayank Varia, John Liagouris
2025 J jnl
ORQ: Complex Analytics on Private Data with Strong Security Guarantees.
CoRR
Eli Baum, Sam Buxbaum, Nitin Mathai, Muhammad Faisal, Vasiliki Kalavri, Mayank Varia, John Liagouris
2025 J jnl
ORQ: Complex Analytics on Private Data with Strong Security Guarantees.
IACR Cryptol. ePrint Arch.
Eli Baum, Sam Buxbaum, Nitin Mathai, Muhammad Faisal, Vasiliki Kalavri, Mayank Varia, John Liagouris
2025 — conf
RingSampler: GNN sampling on large-scale graphs with io_uring.
HotStorage
Qixuan Chen, Yuhang Song, Melissa Martinez, Vasiliki Kalavri
2024 J jnl
A survey on the evolution of stream processing systems.
VLDB J.
Marios Fragkoulis, Paris Carbone, Vasiliki Kalavri, Asterios Katsifodimos
2024 B conf
Crayfish: Navigating the Labyrinth of Machine Learning Inference in Stream Processing Systems.
EDBT
Sonia Horchidan, Po Hao Chen, Emmanouil Kritharakis, Paris Carbone, Vasiliki Kalavri
2024 C conf
In situ neighborhood sampling for large-scale GNN training.
DaMoN
Yuhang Song, Po Hao Chen, Yuchen Lu, Naima Abrar, Vasiliki Kalavri
2024 — conf
QueryShield: Cryptographically Secure Analytics in the Cloud.
SIGMOD Conference Companion
Ethan Seow, Yan Tong, Eli Baum, Sam Buxbaum, Muhammad Faisal, John Liagouris, Vasiliki Kalavri, Mayank Varia
2023 J jnl
Practice of Streaming Processing of Dynamic Graphs: Concepts, Models, and Systems.
IEEE Trans. Parallel Distributed Syst.
Maciej Besta, Marc Fischer, Vasiliki Kalavri, Michael Kapralov, Torsten Hoefler
2023 Misc conf
SECRECY: Secure collaborative analytics in untrusted clouds.
NSDI
John Liagouris, Vasiliki Kalavri, Muhammad Faisal, Mayank Varia
2023 A* conf
TVA: A multi-party computation system for secure and expressive time series analytics.
USENIX Security Symposium
Muhammad Faisal, Jerry Zhang, John Liagouris, Vasiliki Kalavri, Mayank Varia
2023 J jnl
TVA: A multi-party computation system for secure and expressive time series analytics.
IACR Cryptol. ePrint Arch.
Muhammad Faisal, Jerry Zhang, John Liagouris, Vasiliki Kalavri, Mayank Varia
2022 A conf
A new benchmark harness for systematic and robust evaluation of streaming state stores.
EuroSys
Esmail Asyabi, Yuanli Wang, John Liagouris, Vasiliki Kalavri, Azer Bestavros
2022 — conf
Evaluating model serving strategies over streaming data.
DEEM@SIGMOD
Sonia Horchidan, Emmanouil Kritharakis, Vasiliki Kalavri, Paris Carbone
2022 — ed.
GRADES-NDA '22: Proceedings of the 5th ACM SIGMOD Joint International Workshop on Graph Data Management Experiences & Systems (GRADES) and Network Data Analytics (NDA), Philadelphia, Pennsylvania, USA, 12 June 2022
GRADES-NDA@SIGMOD
Vasiliki Kalavri, Semih Salihoglu
2022 — conf
GRADES-NDA'22: 5th International Workshop on Graph Data management Experiences and Systems (GRADES) and Network Data Analytics (NDA).
SIGMOD Conference
Vasiliki Kalavri, Semih Salihoglu
2022 Misc conf
Learning on streaming graphs with experience replay.
SAC
Massimo Perini, Giorgia Ramponi, Paris Carbone, Vasiliki Kalavri
2022 — conf
The
BiDEDE@SIGMOD
Yuanli Wang, Baiqing Lyu, Vasiliki Kalavri
2021 — ed.
GRADES-NDA '21: Proceedings of the 4th ACM SIGMOD Joint International Workshop on Graph Data Management Experiences & Systems (GRADES) and Network Data Analytics (NDA), Virtual Event, China, 20 June 2021.
GRADES-NDA@SIGMOD
Vasiliki Kalavri, Nikolay Yakovets
2021 J jnl
Secrecy: Secure collaborative analytics on secret-shared data.
CoRR
John Liagouris, Vasiliki Kalavri, Muhammad Faisal, Mayank Varia
2021 J jnl
SoK: Function-As-A-Service: From An Application Developer's Perspective.
J. Syst. Res.
Ali Raza, Ibrahim Matta, Nabeel Akhtar, Vasiliki Kalavri, Vatche Isahagian
2021 J jnl
The future is big graphs: a community view on graph processing systems.
Commun. ACM
Sherif Sakr, Angela Bonifati, Hannes Voigt, Alexandru Iosup, Khaled Ammar, Renzo Angles, Walid G. Aref, Marcelo Arenas, Maciej Besta, Peter A. Boncz, Khuzaima Daudjee, Emanuele Della Valle, Stefania Dumbrava, Olaf Hartig, Bernhard Haslhofer, Tim Hegeman, Jan Hidders, Katja Hose, Adriana Iamnitchi, Vasiliki Kalavri, Hugo Kapp, Wim Martens, M. Tamer Özsu, Eric Peukert, Stefan Plantikow, Mohamed Ragab, Matei Ripeanu, Semih Salihoglu, Christian Schulz, Petra Selmer, Juan F. Sequeda, Joshua Shinavier, Gábor Szárnyas, Riccardo Tommasini, Antonino Tumeo, Alexandru Uta, Ana Lucia Varbanescu, Hsiang-Yun Wu, Nikolay Yakovets, Da Yan, Eiko Yoneki
2020 J jnl
A Survey on the Evolution of Stream Processing Systems.
CoRR
Marios Fragkoulis, Paris Carbone, Vasiliki Kalavri, Asterios Katsifodimos
2020 — conf
Beyond Analytics: The Evolution of Stream Processing Systems.
SIGMOD Conference
Paris Carbone, Marios Fragkoulis, Vasiliki Kalavri, Asterios Katsifodimos
2020 — conf
In support of workload-aware streaming state management.
HotStorage
Vasiliki Kalavri, John Liagouris
2020 J jnl
The Future is Big Graphs! A Community View on Graph Processing Systems.
CoRR
Sherif Sakr, Angela Bonifati, Hannes Voigt, Alexandru Iosup, Khaled Ammar, Renzo Angles, Walid G. Aref, Marcelo Arenas, Maciej Besta, Peter A. Boncz, Khuzaima Daudjee, Emanuele Della Valle, Stefania Dumbrava, Olaf Hartig, Bernhard Haslhofer, Tim Hegeman, Jan Hidders, Katja Hose, Adriana Iamnitchi, Vasiliki Kalavri, Hugo Kapp, Wim Martens, M. Tamer Özsu, Eric Peukert, Stefan Plantikow, Mohamed Ragab, Matei Ripeanu, Semih Salihoglu, Christian Schulz, Petra Selmer, Juan F. Sequeda, Joshua Shinavier, Gábor Szárnyas, Riccardo Tommasini, Antonino Tumeo, Alexandru Uta, Ana Lucia Varbanescu, Hsiang-Yun Wu, Nikolay Yakovets, Da Yan, Eiko Yoneki
2019 — conf
FASTER State Management for Timely Dataflow.
BIRTE
Matthew Brookes, Vasiliki Kalavri, John Liagouris
2019 J jnl
Megaphone: Latency-conscious state migration for distributed streaming dataflows.
Proc. VLDB Endow.
Moritz Hoffmann, Andrea Lattuada, Frank McSherry, Vasiliki Kalavri, John Liagouris, Timothy Roscoe
2019 J jnl
Practice of Streaming and Dynamic Graphs: Concepts, Models, Systems, and Parallelism.
CoRR
Maciej Besta, Marc Fischer, Vasiliki Kalavri, Michael Kapralov, Torsten Hoefler
2018 J jnl
DeltaPath: dataflow-based high-performance incremental routing.
CoRR
Desislava C. Dimitrova, John Liagouris, Sebastian Wicki, Moritz Hoffmann, Vasiliki Kalavri, Timothy Roscoe
2018 J jnl
High-Level Programming Abstractions for Distributed Graph Processing.
IEEE Trans. Knowl. Data Eng.
Vasiliki Kalavri, Vladimir Vlassov, Seif Haridi
2018 J jnl
Megaphone: Live state migration for distributed streaming dataflows.
CoRR
Moritz Hoffmann, Andrea Lattuada, Frank McSherry, Vasiliki Kalavri, John Liagouris, Timothy Roscoe
2018 Misc conf
SnailTrail: Generalizing Critical Paths for Online Analysis of Distributed Dataflows.
NSDI
Moritz Hoffmann, Andrea Lattuada, John Liagouris, Vasiliki Kalavri, Desislava C. Dimitrova, Sebastian Wicki, Zaheer Chothia, Timothy Roscoe
2018 J jnl
Streaming Graph Partitioning: An Experimental Study.
Proc. VLDB Endow.
Zainab Abbas, Vasiliki Kalavri, Paris Carbone, Vladimir Vlassov
2018 A* conf
Three steps is all you need: fast, accurate, automatic scaling decisions for distributed streaming dataflows.
OSDI
Vasiliki Kalavri, John Liagouris, Moritz Hoffmann, Desislava C. Dimitrova, Matthew Forshaw, Timothy Roscoe
2017 — conf
Quick Incremental Routing Logic for Dynamic Network Graphs.
SIGCOMM Posters and Demos
Desislava C. Dimitrova, John Liagouris, Moritz Hoffmann, Vasiliki Kalavri, Sebastian Wicki, Timothy Roscoe
2016 J jnl
High-Level Programming Abstractions for Distributed Graph Processing.
CoRR
Vasiliki Kalavri, Vladimir Vlassov, Seif Haridi
2016 B conf
Like a Pack of Wolves: Community Structure of Web Trackers.
PAM
Vasiliki Kalavri, Jeremy Blackburn, Matteo Varvello, Konstantina Papagiannaki
2016 — —
Performance Optimization Techniques and Tools for Distributed Graph Processing.
Vasiliki Kalavri
2016 J jnl
The shortest path is not always a straight line.
Proc. VLDB Endow.
Vasiliki Kalavri, Tiago Simas, Dionysios Logothetis
2014 — conf
Asymmetry in Large-Scale Graph Analysis, Explained.
GRADES
Vasiliki Kalavri, Stephan Ewen, Kostas Tzoumas, Vladimir Vlassov, Volker Markl, Seif Haridi
2013 — conf
Block Sampling: Efficient Accurate Online Aggregation in MapReduce.
CloudCom (1)
Vasiliki Kalavri, Vaidas Brundza, Vladimir Vlassov
2013 — conf
MapReduce: Limitations, Optimizations and Open Issues.
TrustCom/ISPA/IUCC
Vasiliki Kalavri, Vladimir Vlassov
2013 — conf
PonIC: Using Stratosphere to Speed Up Pig Analytics.
Euro-Par
Vasiliki Kalavri, Vladimir Vlassov, Per Brand
2013 — conf
m2r2: A Framework for Results Materialization and Reuse in High-Level Dataflow Systems for Big Data.
CSE
Vasiliki Kalavri, Hui Shang, Vladimir Vlassov