Konstantinos Karanasos
Konstantinos Karanasos
Data Infra at Meta
Vahvistettu sähköpostiosoite verkkotunnuksessa - Kotisivu
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
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
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
View selection in semantic web databases
F Goasdoué, K Karanasos, J Leblay, I Manolescu
arXiv preprint arXiv:1110.6648, 2011
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
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
Hydra: a federated resource manager for data-center scale analytics.
C Curino, S Krishnan, K Karanasos, S Rao, GM Fumarola, B Huang, ...
NSDI, 177-192, 2019
Extending relational query processing with ML inference
K Karanasos, M Interlandi, D Xin, F Psallidas, R Sen, K Park, I Popivanov, ...
arXiv preprint arXiv:1911.00231, 2019
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
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
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
A tensor compiler for unified machine learning prediction serving
S Nakandala, K Saur, GI Yu, K Karanasos, C Curino, M Weimer, ...
Proceedings of the 14th USENIX Conference on Operating Systems Design and …, 2020
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
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
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, 589-613, 2013
Data science through the looking glass and what we found there
F Psallidas, Y Zhu, B Karlas, M Interlandi, A Floratou, K Karanasos, W Wu, ...
arXiv preprint arXiv:1912.09536, 2019
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
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
Query and resource optimization: Bridging the gap
L Viswanathan, A Jindal, K Karanasos
2018 IEEE 34th International Conference on Data Engineering (ICDE), 1384-1387, 2018
Kaskade: Graph views for efficient graph analytics
JMF da Trindade, K Karanasos, C Curino, S Madden, J Shun
2020 IEEE 36th International Conference on Data Engineering (ICDE), 193-204, 2020
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Artikkelit 1–20