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ORCIDVasiliki Kalavri
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- affiliation: Boston University, USA
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2020 – today
- 2024
[j8]Marios Fragkoulis, Paris Carbone, Vasiliki Kalavri
, Asterios Katsifodimos:
A survey on the evolution of stream processing systems. VLDB J. 33(2): 507-541 (2024)- [c23]Yuhang Song, Po-Hao Chen, Yuchen Lu, Naima Abrar, Vasiliki Kalavri:
In situ neighborhood sampling for large-scale GNN training. DaMoN 2024: 11:1-11:5 - [c22]Sonia Horchidan, Po-Hao Chen, Emmanouil Kritharakis, Paris Carbone, Vasiliki Kalavri:
Crayfish: Navigating the Labyrinth of Machine Learning Inference in Stream Processing Systems. EDBT 2024: 676-689 - [c21]Ethan Seow, Yan Tong, Eli Baum, Sam Buxbaum, Muhammad Faisal, John Liagouris, Vasiliki Kalavri, Mayank Varia:
QueryShield: Cryptographically Secure Analytics in the Cloud. SIGMOD Conference Companion 2024: 436-439 - 2023
- [j7]Maciej Besta, Marc Fischer, Vasiliki Kalavri, Michael Kapralov, Torsten Hoefler:
Practice of Streaming Processing of Dynamic Graphs: Concepts, Models, and Systems. IEEE Trans. Parallel Distributed Syst. 34(6): 1860-1876 (2023) - [c20]John Liagouris, Vasiliki Kalavri, Muhammad Faisal, Mayank Varia:
SECRECY: Secure collaborative analytics in untrusted clouds. NSDI 2023: 1031-1056 - [c19]Muhammad Faisal, Jerry Zhang, John Liagouris, Vasiliki Kalavri, Mayank Varia:
TVA: A multi-party computation system for secure and expressive time series analytics. USENIX Security Symposium 2023: 5395-5412 - [i8]Muhammad Faisal, Jerry Zhang, John Liagouris, Vasiliki Kalavri, Mayank Varia:
TVA: A multi-party computation system for secure and expressive time series analytics. IACR Cryptol. ePrint Arch. 2023: 1120 (2023) - 2022
- [c18]Yuanli Wang, Baiqing Lyu, Vasiliki Kalavri:
The non-expert tax: quantifying the cost of auto-scaling in cloud-based data stream analytics. BiDEDE@SIGMOD 2022: 7:1-7:7 - [c17]Sonia Horchidan, Emmanouil Kritharakis, Vasiliki Kalavri, Paris Carbone:
Evaluating model serving strategies over streaming data. DEEM@SIGMOD 2022: 4:1-4:5 - [c16]Esmail Asyabi, Yuanli Wang, John Liagouris, Vasiliki Kalavri, Azer Bestavros:
A new benchmark harness for systematic and robust evaluation of streaming state stores. EuroSys 2022: 559-574 - [c15]Massimo Perini, Giorgia Ramponi, Paris Carbone, Vasiliki Kalavri:
Learning on streaming graphs with experience replay. SAC 2022: 470-478 - [c14]Michal Zwolak, Zainab Abbas, Sonia Horchidan, Paris Carbone, Vasiliki Kalavri:
GCNSplit: bounding the state of streaming graph partitioning. aiDM@SIGMOD 2022: 3:1-3:12 - [c13]Vasiliki Kalavri, Semih Salihoglu:
GRADES-NDA'22: 5th International Workshop on Graph Data management Experiences and Systems (GRADES) and Network Data Analytics (NDA). SIGMOD Conference 2022: 2546-2547 - [e2]Vasiliki Kalavri, Semih Salihoglu:
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. ACM 2022, ISBN 978-1-4503-9384-3 [contents] - 2021
- [j6]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:
The future is big graphs: a community view on graph processing systems. Commun. ACM 64(9): 62-71 (2021) - [j5]Ali Raza, Ibrahim Matta, Nabeel Akhtar, Vasiliki Kalavri, Vatche Isahagian:
SoK: Function-As-A-Service: From An Application Developer's Perspective. J. Syst. Res. 1(1) (2021) - [e1]Vasiliki Kalavri, Nikolay Yakovets:
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. ACM 2021, ISBN 978-1-4503-8477-3 [contents] - [i7]John Liagouris, Vasiliki Kalavri, Muhammad Faisal, Mayank Varia:
Secrecy: Secure collaborative analytics on secret-shared data. CoRR abs/2102.01048 (2021) - 2020
- [c12]Vasiliki Kalavri, John Liagouris:
In support of workload-aware streaming state management. HotStorage 2020 - [c11]Paris Carbone, Marios Fragkoulis, Vasiliki Kalavri, Asterios Katsifodimos:
Beyond Analytics: The Evolution of Stream Processing Systems. SIGMOD Conference 2020: 2651-2658 - [i6]Marios Fragkoulis, Paris Carbone, Vasiliki Kalavri, Asterios Katsifodimos:
A Survey on the Evolution of Stream Processing Systems. CoRR abs/2008.00842 (2020) - [i5]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:
The Future is Big Graphs! A Community View on Graph Processing Systems. CoRR abs/2012.06171 (2020)
2010 – 2019
- 2019
- [j4]Moritz Hoffmann, Andrea Lattuada, Frank McSherry, Vasiliki Kalavri, John Liagouris, Timothy Roscoe:
Megaphone: Latency-conscious state migration for distributed streaming dataflows. Proc. VLDB Endow. 12(9): 1002-1015 (2019) - [c10]Matthew Brookes, Vasiliki Kalavri, John Liagouris:
FASTER State Management for Timely Dataflow. BIRTE 2019: 4:1-4:3 - [i4]Maciej Besta, Marc Fischer, Vasiliki Kalavri, Michael Kapralov, Torsten Hoefler:
Practice of Streaming and Dynamic Graphs: Concepts, Models, Systems, and Parallelism. CoRR abs/1912.12740 (2019) - 2018
- [j3]Zainab Abbas, Vasiliki Kalavri, Paris Carbone, Vladimir Vlassov:
Streaming Graph Partitioning: An Experimental Study. Proc. VLDB Endow. 11(11): 1590-1603 (2018) - [j2]Vasiliki Kalavri, Vladimir Vlassov, Seif Haridi:
High-Level Programming Abstractions for Distributed Graph Processing. IEEE Trans. Knowl. Data Eng. 30(2): 305-324 (2018) - [c9]Moritz Hoffmann, Andrea Lattuada, John Liagouris, Vasiliki Kalavri, Desislava C. Dimitrova, Sebastian Wicki, Zaheer Chothia, Timothy Roscoe:
SnailTrail: Generalizing Critical Paths for Online Analysis of Distributed Dataflows. NSDI 2018: 95-110 - [c8]Vasiliki Kalavri, John Liagouris, Moritz Hoffmann, Desislava C. Dimitrova, Matthew Forshaw, Timothy Roscoe:
Three steps is all you need: fast, accurate, automatic scaling decisions for distributed streaming dataflows. OSDI 2018: 783-798 - [i3]Desislava C. Dimitrova, John Liagouris, Sebastian Wicki, Moritz Hoffmann, Vasiliki Kalavri, Timothy Roscoe:
DeltaPath: dataflow-based high-performance incremental routing. CoRR abs/1808.06893 (2018) - [i2]Moritz Hoffmann, Andrea Lattuada, Frank McSherry, Vasiliki Kalavri, John Liagouris, Timothy Roscoe:
Megaphone: Live state migration for distributed streaming dataflows. CoRR abs/1812.01371 (2018) - 2017
- [c7]Desislava C. Dimitrova, John Liagouris, Moritz Hoffmann, Vasiliki Kalavri, Sebastian Wicki, Timothy Roscoe:
Quick Incremental Routing Logic for Dynamic Network Graphs. SIGCOMM Posters and Demos 2017: 9-11 - 2016
- [j1]Vasiliki Kalavri, Tiago Simas, Dionysios Logothetis:
The shortest path is not always a straight line. Proc. VLDB Endow. 9(9): 672-683 (2016) - [c6]Vasiliki Kalavri, Jeremy Blackburn, Matteo Varvello, Konstantina Papagiannaki:
Like a Pack of Wolves: Community Structure of Web Trackers. PAM 2016: 42-54 - [i1]Vasiliki Kalavri, Vladimir Vlassov, Seif Haridi:
High-Level Programming Abstractions for Distributed Graph Processing. CoRR abs/1607.02646 (2016) - 2014
- [c5]Vasiliki Kalavri, Stephan Ewen, Kostas Tzoumas, Vladimir Vlassov, Volker Markl, Seif Haridi:
Asymmetry in Large-Scale Graph Analysis, Explained. GRADES 2014: 4:1-4:7 - 2013
- [c4]Vasiliki Kalavri, Vaidas Brundza, Vladimir Vlassov:
Block Sampling: Efficient Accurate Online Aggregation in MapReduce. CloudCom (1) 2013: 250-257 - [c3]Vasiliki Kalavri, Hui Shang, Vladimir Vlassov:
m2r2: A Framework for Results Materialization and Reuse in High-Level Dataflow Systems for Big Data. CSE 2013: 894-901 - [c2]Vasiliki Kalavri, Vladimir Vlassov, Per Brand:
PonIC: Using Stratosphere to Speed Up Pig Analytics. Euro-Par 2013: 279-290 - [c1]Vasiliki Kalavri, Vladimir Vlassov:
MapReduce: Limitations, Optimizations and Open Issues. TrustCom/ISPA/IUCC 2013: 1031-1038
Coauthor Index
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last updated on 2024-10-07 21:21 CEST by the dblp team
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