Vasiliki Kalavri

According to our database, Vasiliki Kalavri authored at least 36 papers between 2013 and 2024.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2024

A survey on the evolution of stream processing systems.

Marios Fragkoulis, Paris Carbone, Vasiliki Kalavri, Asterios Katsifodimos

VLDB J., 2024

QueryShield: Cryptographically Secure Analytics in the Cloud.

Ethan Seow, Yan Tong, Eli Baum, Sam Buxbaum, Muhammad Faisal, John Liagouris, Vasiliki Kalavri, Mayank Varia

Proceedings of the Companion of the 2024 International Conference on Management of Data, 2024

Crayfish: Navigating the Labyrinth of Machine Learning Inference in Stream Processing Systems.

Sonia Horchidan, Po-Hao Chen, Emmanouil Kritharakis, Paris Carbone, Vasiliki Kalavri

Proceedings of the Proceedings 27th International Conference on Extending Database Technology, 2024

In situ neighborhood sampling for large-scale GNN training.

Yuhang Song, Po-Hao Chen, Yuchen Lu, Naima Abrar, Vasiliki Kalavri

Proceedings of the 20th International Workshop on Data Management on New Hardware, 2024

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., June, 2023

TVA: A multi-party computation system for secure and expressive time series analytics.

Muhammad Faisal, Jerry Zhang, John Liagouris, Vasiliki Kalavri, Mayank Varia

IACR Cryptol. ePrint Arch., 2023

SECRECY: Secure collaborative analytics in untrusted clouds.

John Liagouris, Vasiliki Kalavri, Muhammad Faisal, Mayank Varia

Proceedings of the 20th USENIX Symposium on Networked Systems Design and Implementation, 2023

2022

<i>GCNSplit</i>: bounding the state of streaming graph partitioning.

Michal Zwolak, Zainab Abbas, Sonia Horchidan, Paris Carbone, Vasiliki Kalavri

Proceedings of the aiDM '22: Proceedings of the Fifth International Workshop on Exploiting Artificial Intelligence Techniques for Data Management, 2022

GRADES-NDA'22: 5th International Workshop on Graph Data management Experiences and Systems (GRADES) and Network Data Analytics (NDA).

Vasiliki Kalavri, Semih Salihoglu

Proceedings of the SIGMOD '22: International Conference on Management of Data, Philadelphia, PA, USA, June 12, 2022

Learning on streaming graphs with experience replay.

Massimo Perini, Giorgia Ramponi, Paris Carbone, Vasiliki Kalavri

Proceedings of the SAC '22: The 37th ACM/SIGAPP Symposium on Applied Computing, Virtual Event, April 25, 2022

A new benchmark harness for systematic and robust evaluation of streaming state stores.

Esmail Asyabi, Yuanli Wang, John Liagouris, Vasiliki Kalavri, Azer Bestavros

Proceedings of the EuroSys '22: Seventeenth European Conference on Computer Systems, Rennes, France, April 5, 2022

Evaluating model serving strategies over streaming data.

Sonia Horchidan, Emmanouil Kritharakis, Vasiliki Kalavri, Paris Carbone

Proceedings of the DEEM '22: Proceedings of the Sixth Workshop on Data Management for End-To-End Machine Learning Philadelphia, 2022

The <i>non-expert tax</i>: quantifying the cost of auto-scaling in cloud-based data stream analytics.

Yuanli Wang, Baiqing Lyu, Vasiliki Kalavri

Proceedings of the BiDEDE '22: Proceedings of The International Workshop on Big Data in Emergent Distributed Environments, 2022

2021

SoK: Function-As-A-Service: From An Application Developer's Perspective.

Ali Raza, Ibrahim Matta, Nabeel Akhtar, Vasiliki Kalavri, Vatche Isahagian

J. Syst. Res., September, 2021

Secrecy: Secure collaborative analytics on secret-shared data.

John Liagouris, Vasiliki Kalavri, Muhammad Faisal, Mayank Varia

CoRR, 2021

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, 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

Commun. ACM, 2021

2020

Beyond Analytics: The Evolution of Stream Processing Systems.

Paris Carbone, Marios Fragkoulis, Vasiliki Kalavri, Asterios Katsifodimos

Proceedings of the 2020 International Conference on Management of Data, 2020

In support of workload-aware streaming state management.

Vasiliki Kalavri, John Liagouris

Proceedings of the 12th USENIX Workshop on Hot Topics in Storage and File Systems, 2020

2019

Megaphone: Latency-conscious state migration for distributed streaming dataflows.

Moritz Hoffmann, Andrea Lattuada, Frank McSherry, Vasiliki Kalavri, John Liagouris, Timothy Roscoe

Proc. VLDB Endow., 2019

Practice of Streaming and Dynamic Graphs: Concepts, Models, Systems, and Parallelism.

Maciej Besta, Marc Fischer, Vasiliki Kalavri, Michael Kapralov, Torsten Hoefler

CoRR, 2019

FASTER State Management for Timely Dataflow.

Matthew Brookes, Vasiliki Kalavri, John Liagouris

Proceedings of the International Workshop on Real-Time Business Intelligence and Analytics, 2019

2018

High-Level Programming Abstractions for Distributed Graph Processing.

Vasiliki Kalavri, Vladimir Vlassov, Seif Haridi

IEEE Trans. Knowl. Data Eng., 2018

Streaming Graph Partitioning: An Experimental Study.

Zainab Abbas, Vasiliki Kalavri, Paris Carbone, Vladimir Vlassov

Proc. VLDB Endow., 2018

Megaphone: Live state migration for distributed streaming dataflows.

Moritz Hoffmann, Andrea Lattuada, Frank McSherry, Vasiliki Kalavri, John Liagouris, Timothy Roscoe

CoRR, 2018

DeltaPath: dataflow-based high-performance incremental routing.

Desislava C. Dimitrova, John Liagouris, Sebastian Wicki, Moritz Hoffmann, Vasiliki Kalavri, Timothy Roscoe

CoRR, 2018

Three steps is all you need: fast, accurate, automatic scaling decisions for distributed streaming dataflows.

Vasiliki Kalavri, John Liagouris, Moritz Hoffmann, Desislava C. Dimitrova, Matthew Forshaw, Timothy Roscoe

Proceedings of the 13th USENIX Symposium on Operating Systems Design and Implementation, 2018

SnailTrail: Generalizing Critical Paths for Online Analysis of Distributed Dataflows.

Moritz Hoffmann, Andrea Lattuada, John Liagouris, Vasiliki Kalavri, Desislava C. Dimitrova, Sebastian Wicki, Zaheer Chothia, Timothy Roscoe

Proceedings of the 15th USENIX Symposium on Networked Systems Design and Implementation, 2018

2017

Quick Incremental Routing Logic for Dynamic Network Graphs.

Desislava C. Dimitrova, John Liagouris, Moritz Hoffmann, Vasiliki Kalavri, Sebastian Wicki, Timothy Roscoe

Proceedings of the Posters and Demos Proceedings of the Conference of the ACM Special Interest Group on Data Communication, 2017

2016

Performance Optimization Techniques and Tools for Distributed Graph Processing.

Vasiliki Kalavri

PhD thesis, 2016

The shortest path is not always a straight line.

Vasiliki Kalavri, Tiago Simas, Dionysios Logothetis

Proc. VLDB Endow., 2016

Like a Pack of Wolves: Community Structure of Web Trackers.

Vasiliki Kalavri, Jeremy Blackburn, Matteo Varvello, Konstantina Papagiannaki

Proceedings of the Passive and Active Measurement - 17th International Conference, 2016

2014

Asymmetry in Large-Scale Graph Analysis, Explained.

Vasiliki Kalavri, Stephan Ewen, Kostas Tzoumas, Vladimir Vlassov, Volker Markl, Seif Haridi

Proceedings of the Second International Workshop on Graph Data Management Experiences and Systems, 2014

2013

MapReduce: Limitations, Optimizations and Open Issues.

Vasiliki Kalavri, Vladimir Vlassov

Proceedings of the 12th IEEE International Conference on Trust, 2013

PonIC: Using Stratosphere to Speed Up Pig Analytics.

Vasiliki Kalavri, Vladimir Vlassov, Per Brand

Proceedings of the Euro-Par 2013 Parallel Processing, 2013

m2r2: A Framework for Results Materialization and Reuse in High-Level Dataflow Systems for Big Data.

Vasiliki Kalavri, Hui Shang, Vladimir Vlassov

Proceedings of the 16th IEEE International Conference on Computational Science and Engineering, 2013

Block Sampling: Efficient Accurate Online Aggregation in MapReduce.

Vasiliki Kalavri, Vaidas Brundza, Vladimir Vlassov

Proceedings of the IEEE 5th International Conference on Cloud Computing Technology and Science, 2013