| Workload-aware streaming graph partitioning H Firth, P Missier GraphQ Workshop co-located with EDBT/ICDT 2016 Joint Conference, 2016 | 18 | 2016 |
| TAPER: query-aware, partition-enhancement for large, heterogenous graphs H Firth, P Missier Distributed and Parallel Databases 35 (2), 85-115, 2017 | 12 | 2017 |
| ProvGen: generating synthetic PROV graphs with predictable structure H Firth, P Missier Provenance and Annotation of Data and Processes: 5th International …, 2015 | 12 | 2015 |
| Meeting graduate employability needs through open-source collaboration with industry M Forshaw, E Solaiman, O McGee, H Firth, P Robinson, R Emerson Proceedings of the 47th ACM Technical Symposium on Computing Science …, 2016 | 8 | 2016 |
| Loom: Query-aware partitioning of online graphs H Firth, P Missier, J Aiston arXiv preprint arXiv:1711.06608, 2017 | 7 | 2017 |
| Mammoths Are Slow: The Overlooked Transactions of Graph Data A Cheng, J Waudby, H Firth, N Crooks, I Stoica Proceedings of the VLDB Endowment 17 (4), 904-911, 2023 | 1 | 2023 |
| Graph database system to safely store data at high volume and scale J Webber, H Firth US Patent 11,481,385, 2022 | 1 | 2022 |
| Workload-sensitive approaches to improving graph data partitioning online HEB Firth Newcastle University, 2018 | 1 | 2018 |
Paolo MissierProfessor of Big Data Engineering and AnalyticsDirección de correo verificada de acm.org
