| Mercury: Hybrid centralized and distributed scheduling in large shared clusters K Karanasos, S Rao, C Curino, C Douglas, K Chaliparambil, ... 2015 {USENIX} Annual Technical Conference ({USENIX}{ATC} 15), 485-497, 2015 | 159 | 2015 |
| View selection in semantic web databases F Goasdoué, K Karanasos, J Leblay, I Manolescu arXiv preprint arXiv:1110.6648, 2011 | 107 | 2011 |
| Efficient queue management for cluster scheduling J Rasley, K Karanasos, S Kandula, R Fonseca, M Vojnovic, S Rao Proceedings of the Eleventh European Conference on Computer Systems, 1-15, 2016 | 99 | 2016 |
| WANalytics: Analytics for a Geo-Distributed Data-Intensive World. A Vulimiri, C Curino, B Godfrey, K Karanasos, G Varghese CIDR, 2015 | 95 | 2015 |
| Wanalytics: Geo-distributed analytics for a data intensive world A Vulimiri, C Curino, PB Godfrey, T Jungblut, K Karanasos, J Padhye, ... Proceedings of the 2015 ACM SIGMOD international conference on management of …, 2015 | 47 | 2015 |
| Medea scheduling of long running applications in shared production clusters P Garefalakis, K Karanasos, P Pietzuch, A Suresh, S Rao Proceedings of the Thirteenth EuroSys Conference, 1-13, 2018 | 43 | 2018 |
| Fact checking and analyzing the web F Goasdoué, K Karanasos, Y Katsis, J Leblay, I Manolescu, S Zampetakis Proceedings of the 2013 ACM SIGMOD International Conference on Management of …, 2013 | 36 | 2013 |
| Efficient XQuery rewriting using multiple views I Manolescu, K Karanasos, V Vassalos, S Zoupanos 2011 IEEE 27th International Conference on Data Engineering, 972-983, 2011 | 32 | 2011 |
| Selecting subexpressions to materialize at datacenter scale A Jindal, K Karanasos, S Rao, H Patel Proceedings of the VLDB Endowment 11 (7), 800-812, 2018 | 31 | 2018 |
| Dynamically optimizing queries over large scale data platforms K Karanasos, A Balmin, M Kutsch, F Ozcan, V Ercegovac, C Xia, ... Proceedings of the 2014 ACM SIGMOD international conference on Management of …, 2014 | 31 | 2014 |
| Growing triples on trees: an XML-RDF hybrid model for annotated documents F Goasdoué, K Karanasos, Y Katsis, J Leblay, I Manolescu, S Zampetakis The VLDB Journal 22 (5), 589-613, 2013 | 28 | 2013 |
| Hydra: a federated resource manager for data-center scale analytics C Curino, S Krishnan, K Karanasos, S Rao, GM Fumarola, B Huang, ... 16th {USENIX} Symposium on Networked Systems Design and Implementation …, 2019 | 26 | 2019 |
| Computation reuse in analytics job service at microsoft A Jindal, S Qiao, H Patel, Z Yin, J Di, M Bag, M Friedman, Y Lin, ... Proceedings of the 2018 International Conference on Management of Data, 191-203, 2018 | 23 | 2018 |
| Repeatability & workability evaluation of SIGMOD 2009 S Manegold, I Manolescu, L Afanasiev, J Feng, G Gou, M Hadjieleftheriou, ... ACM SIGMOD Record 38 (3), 40-43, 2010 | 21 | 2010 |
| Delta: Scalable data dissemination under capacity constraints K Karanasos, A Katsifodimos, I Manolescu | 18 | 2013 |
| ViP2P: Efficient XML management in DHT networks K Karanasos, A Katsifodimos, I Manolescu, S Zoupanos International Conference on Web Engineering, 386-394, 2012 | 17 | 2012 |
| RDFViewS: a storage tuning wizard for RDF applications F Goasdoué, K Karanasos, J Leblay, I Manolescu Proceedings of the 19th ACM international conference on Information and …, 2010 | 15 | 2010 |
| Viewing a world of annotations through AnnoVIP K Karanasos, S Zoupanos 2010 IEEE 26th International Conference on Data Engineering (ICDE 2010 …, 2010 | 13 | 2010 |
| Neptune: Scheduling Suspendable Tasks for Unified Stream/Batch Applications P Garefalakis, K Karanasos, P Pietzuch Proceedings of the ACM Symposium on Cloud Computing, 233-245, 2019 | 8 | 2019 |
| Cloudy with high chance of DBMS: A 10-year prediction for Enterprise-Grade ML A Agrawal, R Chatterjee, C Curino, A Floratou, N Gowdal, M Interlandi, ... arXiv preprint arXiv:1909.00084, 2019 | 8 | 2019 |
Carlo Aldo CurinoPrincipal Research Scientist Lead, Microsoft -- CISL/GSLEmail verificata su microsoft.com
