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Olga Papaemmanouil
Olga Papaemmanouil
Associate Professor at Brandeis University
Verified email at cs.brandeis.edu - Homepage
Title
Cited by
Cited by
Year
Neo: A learned query optimizer
R Marcus, P Negi, H Mao, C Zhang, M Alizadeh, T Kraska, ...
arXiv preprint arXiv:1904.03711, 2019
3712019
Overview of data exploration techniques
S Idreos, O Papaemmanouil, S Chaudhuri
Proceedings of the 2015 ACM SIGMOD international conference on management of …, 2015
3312015
Deep reinforcement learning for join order enumeration
R Marcus, O Papaemmanouil
Proceedings of the First International Workshop on Exploiting Artificial …, 2018
2522018
Performance prediction for concurrent database workloads
J Duggan, U Cetintemel, O Papaemmanouil, E Upfal
Proceedings of the 2011 ACM SIGMOD International Conference on Management of …, 2011
1972011
Explore-by-example: An automatic query steering framework for interactive data exploration
K Dimitriadou, O Papaemmanouil, Y Diao
Proceedings of the 2014 ACM SIGMOD international conference on Management of …, 2014
1902014
Plan-structured deep neural network models for query performance prediction
R Marcus, O Papaemmanouil
arXiv preprint arXiv:1902.00132, 2019
1372019
Distributed operation in the borealis stream processing engine
Y Ahmad, B Berg, U Cetintemel, M Humphrey, JH Hwang, A Jhingran, ...
Proceedings of the 2005 ACM SIGMOD international conference on Management of …, 2005
1322005
AIDE: an active learning-based approach for interactive data exploration
K Dimitriadou, O Papaemmanouil, Y Diao
IEEE Transactions on Knowledge and Data Engineering 28 (11), 2842-2856, 2016
1032016
Query Steering for Interactive Data Exploration.
U Cetintemel, M Cherniack, JA DeBrabant, Y Diao, K Dimitriadou, ...
CIDR, 2013
1002013
Semcast: Semantic multicast for content-based data dissemination
O Papaemmanouil, U Cetintemel
21st International Conference on Data Engineering (ICDE'05), 242-253, 2005
992005
Towards a hands-free query optimizer through deep learning
R Marcus, O Papaemmanouil
arXiv preprint arXiv:1809.10212, 2018
912018
A generic auto-provisioning framework for cloud databases
J Rogers, O Papaemmanouil, U Cetintemel
2010 IEEE 26th International Conference on Data Engineering Workshops (ICDEW …, 2010
682010
Wisedb: A learning-based workload management advisor for cloud databases
R Marcus, O Papaemmanouil
arXiv preprint arXiv:1601.08221, 2016
542016
Query Deployment Plan For A Distributed Shared Stream Processing System
O Papaemmanouil, S Basu, S Banerjee
US Patent App. 12/244,878, 2009
492009
June 2005. Distributed operation in the Borealis Stream Processing Engine. Demonstration
Y Ahmad, B Berg, U Çetintemel, M Humphrey, J Hwang, A Jhingran, ...
ACM SIGMOD International Conference on Management of Data (SIGMOD'05), 0
45
Skew-aware join optimization for array databases
J Duggan, O Papaemmanouil, L Battle, M Stonebraker
Proceedings of the 2015 ACM SIGMOD International Conference on Management of …, 2015
432015
Contender: A Resource Modeling Approach for Concurrent Query Performance Prediction.
J Duggan, O Papaemmanouil, U Cetintemel, E Upfal
EDBT, 109-120, 2014
422014
Extensible optimization in overlay dissemination trees
O Papaemmanouil, Y Ahmad, U Çetintemel, J Jannotti, Y Yildirim
Proceedings of the 2006 ACM SIGMOD international conference on Management of …, 2006
332006
NashDB: an end-to-end economic method for elastic database fragmentation, replication, and provisioning
R Marcus, O Papaemmanouil, S Semenova, S Garber
Proceedings of the 2018 International Conference on Management of Data, 1253 …, 2018
302018
Releasing Cloud Databases for the Chains of Performance Prediction Models.
R Marcus, O Papaemmanouil
CIDR, 2017
282017
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