| Wihidum: Distributed complex event processing S Jayasekara, S Kannangara, T Dahanayakage, I Ranawaka, S Perera, ... Journal of Parallel and Distributed Computing 79, 42-51, 2015 | 38 | 2015 |
| A utilization model for optimization of checkpoint intervals in distributed stream processing systems S Jayasekara, A Harwood, S Karunasekera Future Generation Computer Systems, 2020 | 27 | 2020 |
| RAPID: real-time analytics platform for interactive data mining KH Lim, S Jayasekara, S Karunasekera, A Harwood, L Falzon, J Dunn, ... Machine Learning and Knowledge Discovery in Databases: European Conference …, 2019 | 17 | 2019 |
| Continuous analytics on geospatial data streams with wso2 complex event processor S Jayasekara, S Perera, M Dayarathna, S Suhothayan Proceedings of the 9th ACM International Conference on Distributed Event …, 2015 | 12 | 2015 |
| Optimizing checkpoint‐based fault‐tolerance in distributed stream processing systems: Theory to practice S Jayasekara, S Karunasekera, A Harwood Software: Practice and Experience 52 (1), 296-315, 2022 | 8 | 2022 |
| Enhancing the scalability and performance of iterative graph algorithms on apache storm S Jayasekara, S Karunasekera, A Harwood 2018 IEEE International Conference on Big Data (Big Data), 3863-3872, 2018 | 5 | 2018 |
| Optimal Multi-Level Interval-based Checkpointing for Exascale Stream Processing Systems S Jayasekara, A Harwood, S Karunasekera arXiv preprint arXiv:1912.07162, 2019 | 1 | 2019 |
| Communication Model for Parallel Iterative Stream Processing S Jayasekara, X Liu, S Karunasekera, A Harwood 2018 IEEE International Conference on Big Data (Big Data), 313-320, 2018 | 1 | 2018 |
| A multi-stage hierarchical window model with application to real-time graph analysis S Jayasekara, S Karunasekera, A Harwood 2017 IEEE 37th International Conference on Distributed Computing Systems …, 2017 | 1 | 2017 |
