Block Sampling: Efficient Accurate Online Aggregation in MapReduce. - Vasiliki Kalavri; Vaidas Brundza; Vladimir Vlassov (CloudCom (1), 2013)

m2r2: A Framework for Results Materialization and Reuse in High-Level Dataflow Systems for Big Data. - Vasiliki Kalavri; Hui Shang; Vladimir Vlassov (CSE, 2013)

PonIC: Using Stratosphere to Speed Up Pig Analytics. - Vasiliki Kalavri; Vladimir Vlassov; Per Brand (Euro-Par, 2013)

MapReduce: Limitations, Optimizations and Open Issues. - Vasiliki Kalavri; Vladimir Vlassov (TrustCom/ISPA/IUCC, 2013)

Asymmetry in Large-Scale Graph Analysis, Explained. - Vasiliki Kalavri; Stephan Ewen; Kostas Tzoumas; Vladimir Vlassov; Volker Markl; Seif Haridi (GRADES, 2014)

Like a Pack of Wolves: Community Structure of Web Trackers. - Vasiliki Kalavri; Jeremy Blackburn; Matteo Varvello; Konstantina Papagiannaki (PAM, 2016)

The shortest path is not always a straight line. - Vasiliki Kalavri; Tiago Simas; Dionysios Logothetis (Proc. VLDB Endow., 2016)

Performance Optimization Techniques and Tools for Distributed Graph Processing. - Vasiliki Kalavri (2016)

Quick Incremental Routing Logic for Dynamic Network Graphs. - Desislava C. Dimitrova; John Liagouris; Moritz Hoffmann 001; Vasiliki Kalavri; Sebastian Wicki; Timothy Roscoe (SIGCOMM Posters and Demos, 2017)

SnailTrail: Generalizing Critical Paths for Online Analysis of Distributed Dataflows. - Moritz Hoffmann 001; Andrea Lattuada 001; John Liagouris; Vasiliki Kalavri; Desislava C. Dimitrova; Sebastian Wicki; Zaheer Chothia; Timothy Roscoe (NSDI, 2018)

Three steps is all you need: fast, accurate, automatic scaling decisions for distributed streaming dataflows. - Vasiliki Kalavri; John Liagouris; Moritz Hoffmann 001; Desislava C. Dimitrova; Matthew Forshaw; Timothy Roscoe (OSDI, 2018)

DeltaPath: dataflow-based high-performance incremental routing. - Desislava C. Dimitrova; John Liagouris; Sebastian Wicki; Moritz Hoffmann 001; Vasiliki Kalavri; Timothy Roscoe (CoRR, 2018)

Megaphone: Live state migration for distributed streaming dataflows. - Moritz Hoffmann 001; Andrea Lattuada 001; Frank McSherry; Vasiliki Kalavri; John Liagouris; Timothy Roscoe (CoRR, 2018)

Streaming Graph Partitioning: An Experimental Study. - Zainab Abbas; Vasiliki Kalavri; Paris Carbone; Vladimir Vlassov (Proc. VLDB Endow., 2018)

High-Level Programming Abstractions for Distributed Graph Processing. - Vasiliki Kalavri; Vladimir Vlassov; Seif Haridi (IEEE Trans. Knowl. Data Eng., 2018)

FASTER State Management for Timely Dataflow. - Matthew Brookes; Vasiliki Kalavri; John Liagouris (BIRTE, 2019)

Practice of Streaming and Dynamic Graphs: Concepts, Models, Systems, and Parallelism. - Maciej Besta; Marc Fischer; Vasiliki Kalavri; Michael Kapralov; Torsten Hoefler (CoRR, 2019)

Megaphone: Latency-conscious state migration for distributed streaming dataflows. - Moritz Hoffmann 001; Andrea Lattuada 001; Frank McSherry; Vasiliki Kalavri; John Liagouris; Timothy Roscoe (Proc. VLDB Endow., 2019)

In support of workload-aware streaming state management. - Vasiliki Kalavri; John Liagouris (HotStorage, 2020)

Beyond Analytics: The Evolution of Stream Processing Systems. - Paris Carbone; Marios Fragkoulis; Vasiliki Kalavri; Asterios Katsifodimos (SIGMOD Conference, 2020)

The future is big graphs: a community view on graph processing systems. - 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; et al. (Commun. ACM, 2021)

Secrecy: Secure collaborative analytics on secret-shared data. - John Liagouris; Vasiliki Kalavri; Muhammad Faisal 001; Mayank Varia (CoRR, 2021)

SoK: Function-As-A-Service: From An Application Developer's Perspective. - Ali Raza 003; Ibrahim Matta; Nabeel Akhtar; Vasiliki Kalavri; Vatche Isahagian (J. Syst. Res., 2021)

The non-expert tax: quantifying the cost of auto-scaling in cloud-based data stream analytics. - Yuanli Wang; Baiqing Lyu; Vasiliki Kalavri (BiDEDE@SIGMOD, 2022)

Evaluating model serving strategies over streaming data. - Sonia Horchidan; Emmanouil Kritharakis; Vasiliki Kalavri; Paris Carbone (DEEM@SIGMOD, 2022)

A new benchmark harness for systematic and robust evaluation of streaming state stores. - Esmail Asyabi; Yuanli Wang; John Liagouris; Vasiliki Kalavri; Azer Bestavros (EuroSys, 2022)

Learning on streaming graphs with experience replay. - Massimo Perini; Giorgia Ramponi; Paris Carbone; Vasiliki Kalavri (SAC, 2022)

GRADES-NDA'22: 5th International Workshop on Graph Data management Experiences and Systems (GRADES) and Network Data Analytics (NDA). - Vasiliki Kalavri; Semih Salihoglu (SIGMOD Conference, 2022)

GCNSplit: bounding the state of streaming graph partitioning. - Michal Zwolak; Zainab Abbas; Sonia Horchidan; Paris Carbone; Vasiliki Kalavri (aiDM@SIGMOD, 2022)

SECRECY: Secure collaborative analytics in untrusted clouds. - John Liagouris; Vasiliki Kalavri; Muhammad Faisal 001; Mayank Varia (NSDI, 2023)

TVA: A multi-party computation system for secure and expressive time series analytics. - Muhammad Faisal 001; Jerry Zhang; John Liagouris; Vasiliki Kalavri; Mayank Varia (IACR Cryptol. ePrint Arch., 2023)

Practice of Streaming Processing of Dynamic Graphs: Concepts, Models, and Systems. - Maciej Besta; Marc Fischer; Vasiliki Kalavri; Michael Kapralov; Torsten Hoefler (IEEE Trans. Parallel Distributed Syst., 2023)

In situ neighborhood sampling for large-scale GNN training. - Yuhang Song; Po Hao Chen 002; Yuchen Lu; Naima Abrar; Vasiliki Kalavri (DaMoN, 2024)

Crayfish: Navigating the Labyrinth of Machine Learning Inference in Stream Processing Systems. - Sonia Horchidan; Po Hao Chen 002; Emmanouil Kritharakis; Paris Carbone; Vasiliki Kalavri (EDBT, 2024)

QueryShield: Cryptographically Secure Analytics in the Cloud. - Ethan Seow; Yan Tong; Eli Baum; Sam Buxbaum; Muhammad Faisal 001; John Liagouris; Vasiliki Kalavri; Mayank Varia (SIGMOD Conference Companion, 2024)

A survey on the evolution of stream processing systems. - Marios Fragkoulis; Paris Carbone; Vasiliki Kalavri; Asterios Katsifodimos (VLDB J., 2024)

CAPSys: Contention-aware task placement for data stream processing. - Yuanli Wang; Lei Huang; Zikun Wang; Vasiliki Kalavri; Ibrahim Matta (EuroSys, 2025)

Bridging GNN Inference and Dataflow Stream Processing: Challenges and Opportunities. - Naima Abrar Shami; Vasiliki Kalavri (GRADES/NDA, 2025)

RingSampler: GNN sampling on large-scale graphs with io_uring. - Qixuan Chen; Yuhang Song; Melissa Martinez; Vasiliki Kalavri (HotStorage, 2025)