| The future is big graphs: a community view on graph processing systems S Sakr, A Bonifati, H Voigt, A Iosup, K Ammar, R Angles, W Aref, M Arenas, ... Communications of the ACM 64 (9), 62-71, 2021 | 201 | 2021 |
| 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 | 162 | 2018 |
| Streaming Graph Partitioning: An Experimental Study Z Abbas, V Kalavri, P Carbone, V Vlassov Proceedings of the VLDB Endowment 11 (11), 2018 | 119 | 2018 |
| MapReduce: Limitations, Optimizations and Open Issues V Kalavri, V Vlassov 11th IEEE International Symposium on Parallel and Distributed Processing …, 2013 | 93 | 2013 |
| 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 | 91 | 2018 |
| Practice of streaming processing of dynamic graphs: Concepts, models, and systems M Besta, M Fischer, V Kalavri, M Kapralov, T Hoefler IEEE Transactions on Parallel and Distributed Systems, 2021 | 89 | 2021 |
| A survey on the evolution of stream processing systems M Fragkoulis, P Carbone, V Kalavri, A Katsifodimos The VLDB Journal, 2023 | 81 | 2023 |
| Beyond Analytics: the Evolution of Stream Processing Systems P Carbone, M Fragkoulis, V Kalavri, A Katsifodimos Proceedings of the 2020 ACM SIGMOD International Conference on Management of …, 2020 | 67 | 2020 |
| Stream Processing with Apache Flink F Hueske, V Kalavri Published by O’Reilly Media, Inc., 2019 | 65* | 2019 |
| 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 | 63 | 2019 |
| 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 | 41 | 2016 |
| 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 | 31 | 2016 |
| {SECRECY}: Secure collaborative analytics in untrusted clouds J Liagouris, V Kalavri, M Faisal, M Varia 20th USENIX Symposium on Networked Systems Design and Implementation (NSDI …, 2023 | 30* | 2023 |
| 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 | 30 | 2018 |
| 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 | 25 | 2013 |
| Sok: Function-as-a-service: From an application developer’s perspective A Raza, I Matta, N Akhtar, V Kalavri, V Isahagian Journal of Systems Research 1 (1), 2021 | 18 | 2021 |
| Learning on Streaming Graphs with Experience Replay M Perini, G Ramponi, P Carbone, V Kalavri The 37th ACM/SIGAPP Symposium on Applied Computing (SAC ’22), 2022 | 16 | 2022 |
| A New Benchmark Harness for Systematic and Robust Evaluation of Streaming State Stores E Asyabi, Y Wang, J Liagouris, V Kalavri, A Bestavros Proceedings of the Seventeenth European Conference on Computer Systems …, 2022 | 16 | 2022 |
| In support of workload-aware streaming state management V Kalavri, J Liagouris 12th {USENIX} Workshop on Hot Topics in Storage and File Systems (HotStorage 20), 2020 | 15 | 2020 |
| 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 | 11 | 2013 |
Vladimir VlassovProfessor in Computer Systems, KTH Royal Institute of TechnologyEmail verificata su kth.se
