Vasiliki Kalavri
TitleCited byYear
MapReduce: Limitations, Optimizations and Open Issues
V Kalavri, V Vlassov
11th IEEE International Symposium on Parallel and Distributed Processing …, 2013
582013
High-Level Programming Abstractions for Distributed Graph Processing
V Kalavri, V Vlassov, S Haridi
IEEE Transactions on Knowledge and Data Engineering 30 (2), 305-324, 2018
242018
The shortest path is not always a straight line
V Kalavri, T Simas, D Logothetis
Proceedings of the VLDB Endowment 9 (9), 672 - 683, 2016
172016
Like a Pack of Wolves: Community Structure of Web Trackers
V Kalavri, J Blackburn, M Varvello, K Papagiannaki
International Conference on Passive and Active Network Measurement, 42-54, 2016
142016
Block Sampling: Efficient Accurate Online Aggregation in MapReduce
V Kalavri, V Brundza, V Vlassov
5th IEEE International Conference on Cloud Computing Technology and Science …, 2013
142013
Three steps is all you need: fast accurate, automatic scaling decisions for distributed streaming dataflows
V Kalavri, J Liagouris, M Hoffmann, D Dimitrova, M Forshaw, T Roscoe
13th {USENIX} Symposium on Operating Systems Design and Implementation …, 2018
92018
SnailTrail: Generalizing Critical Paths for Online Analysis of Distributed Dataflows
M Hoffmann, A Lattuada, J Liagouris, V Kalavri, D Dimitrova, S Wicki, ...
15th {USENIX} Symposium on Networked Systems Design and Implementation …, 2018
92018
Streaming Graph Partitioning: An Experimental Study
Z Abbas, V Kalavri, P Carbone, V Vlassov
Proceedings of the VLDB Endowment 11 (11), 2018
82018
Asymmetry in large-scale graph analysis, explained
V Kalavri, S Ewen, K Tzoumas, V Vlassov, V Markl, S Haridi
Proceedings of Workshop on GRAph Data management Experiences and Systems, 1-7, 2014
82014
m2r2: A Framework for Results Materialization and Reuse in High-Level Dataflow Systems for Big Data
V Kalavri, H Shang, V Vlassov
2nd International Conference on Big Data Science and Engineering (BDSE 2013), 2013
82013
Ponic: Using stratosphere to speed up pig analytics
V Kalavri, V Vlassov, P Brand
European Conference on Parallel Processing, 279-290, 2013
62013
Integrating pig and stratosphere
V Kalavri
32012
Megaphone: Live state migration for distributed streaming dataflows
M Hoffmann, A Lattuada, F McSherry, V Kalavri, J Liagouris, T Roscoe
Proceedings of the VLDB Endowment 12 (9), 1002-1015, 2019
22019
Stream Processing with Apache Flink
F Hueske, V Kalavri
Published by O’Reilly Media, Inc., 2019
2*2019
Performance Optimization Techniques and Tools for Distributed Graph Processing
V Kalavri
KTH Royal Institute of Technology, 2016
22016
FASTER State Management for Timely Dataflow
M Brookes, V Kalavri, J Liagouris
Proceedings of Real-Time Business Intelligence and Analytics, 4:1--4:3, 2019
12019
Quick incremental routing logic for dynamic network graphs
DC Dimitrova, J Liagouris, M Hoffmann, V Kalavri, S Wicki, T Roscoe
Proceedings of the SIGCOMM Posters and Demos, 9-11, 2017
12017
DeltaPath: dataflow-based high-performance incremental routing
D Dimitrova, J Liagouris, S Wicki, M Hoffmann, V Kalavri, T Roscoe
arXiv preprint arXiv:1808.06893, 2018
2018
SnailTrail: Online Bottleneck Detection for your Dataflow
R Sager, J Liagouris, D Dimitrova, A Lattuada, V Kalavri, Z Chothia, ...
2017
Performance Optimization Techniques and Tools for Data-Intensive Computation Platforms: An Overview of Performance Limitations in Big Data Systems and Proposed Optimizations
V Kalavri
KTH Royal Institute of Technology, 2014
2014
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Articles 1–20