Selected
Publications [DBLP]
[Google
Scholar]
Curriculum Vitae
- ML-In-Databases: Assessment and
Prognosis, Tim Kraska, Umar
Farooq Minhas, Thomas Neumann, Olga
Papaemmanouil, Jignesh Patel, Chris Re,
Michael Stonebraker, IEEE Bulletin on Data
Engineering, March 2021, Vol. 44 No. 1 [pdf]
- NDI: A platform-independent data
interface and database for neuroscience
physiology and imaging experiments,
Garca Murillo D, Rogovin O, Zhao Y, Chen
S,Wang Z, Papaemmanouil O, Van Hooser SD,
preprint 2020 [biorxv]
- Bu ffer Pool Aware Query Scheduling
via Deep Reinforcement Learning, C.
Zhang, R. Marcus, O. Papaemmanouil, In
Proceedings of the 2nd International
Workshop on Applied AI for Database
Systems and Applications, VLDB Workshops (aiDB
2020) [pdf]
-
Big Data Exploration, Visualization and
Analytics, N. Bikakis, G.
Papastefanatos, O. Papaemmanouil, Big Data
Research, Volume 18, 2019 [pdf]
- Neo: A Learned Query Optimizer,
Ryan Marcus, Parimarjan Negi, Hongzi Mao,
Chi Zhang, Mohammad Alizadeh, Tim Kraska,
Olga Papaemmanouil, Nesime Tatbul. In
Proceedings of 45th International
Conference on Very Large Databases (VLDB
2019) [pdf]
- Plan-Structured Deep Neural Networks
for Query Performance Prediction,
Ryan Marcus, Olga Papaemmanouil. In
Proceedings of 45th International
Conference on Very Large Databases (VLDB
2019) [pdf]
- NashDB: Fragmentation, Replication,
and Provisioning using Economic Methods
(Demonstration), Ryan Marcus, Chi
Zhang, Shuai Yu, Geoffrey Kao, Olga
Papaemmanouil. In Proceedings of 45th
International Conference on Very Large
Databases (VLDB 2019) [pdf]
- Flexible Operator Embeddings via Deep
Learning, Ryan Marcus, Olga
Papaemmanouil. January 2019, arXiv.org [pdf]
- Towards a Hands-Free Query Optimizer
through Deep Learning, Ryan Marcus,
Olga Papaemmanouil, In Proceedings of the
9th Biennial Conference in Innovative Data
Systems Research (CIDR 2019) [pdf]
- Deep Reinforcement Learning for Join
Order Enumeration, Ryan Marcus, Olga
Papaemmanouil, In Proceedings of the 1st
International Workshop on Exploiting
Artificial Intelligence Techniques for
Data Management, SIGMOD Workshops (aiDM
2018). [pdf]
- NashDB: An Economic Approach to
Fragmentation, Replication and
Provisioning for Elastic Databases ,
Ryan Marcus, Olga Papaemmanouil, Sofiya
Semenova, Solomon Garber, In
Proceedings of 37th ACM Special Interest
Group in Data Management (SIGMOD 2018).
[pdf]
- A Learning-based Service for Cost and
Performance Management of Cloud
Databases (Demonstration), Ryan
Marcus, Sofiya Semenova, Olga
Papaemmanouil, In Proceedings of
33rd IEEE International Conference
on Data Engineering (ICDE 2017).
[pdf]
- Releasing Cloud Databases from the
Chains of Predictions Models. Ryan
Marcus, Olga Papaemmanouil. In Proceedings
of the 8th Biennial Conference in
Innovative Data Systems Research (CIDR
2017). [pdf]
- Interactive Data Exploration via
Machine Learning Models, Olga
Papaemmanouil, Yanlei Diao, Kyriaki
Dimitriadou, Liping Peng. In Proceedings
of IEEE Data Engineering Bulletin (invited
paper), Volume 39, Issue 4, pages 21-30,
December 2016. [pdf]
- AIDE: An Active Learning-based
Approach for Interactive Data
Exploration. Kyriaki Dimitriadou,
Olga Papaemmanouil, and Yanlei Diao. IEEE
Transactions on Knowledge and Data
Engineering (TKDE), Volume 28,
Issue 11, pages 2842 - 2856, November
2016. [pdf]
- OptMark: A Toolkit for Benchmarking
Query Optimizers, Zhan Li,
Olga Papaemmanouil, Mitch Cherniack. In
Proceedings of 25th ACM International
Conference on on Information and Knowledge
Management (CIKM 2016).
[pdf]
[long
version]
- WiSeDB: A Learning-based
Workload Management Advisor for Cloud
Databases, Ryan Marcus, Olga
Papaemmanouil. In Proceedings of the
Very Large Databases Endowment (PVLDB
2016). Volume 9, Issue 10, pages
780-791. [pdf]
- AIDE: An Automatic User Navigation
Service for Interactive Data Exploration
(Demonstration), Yanlei Diao,
Kyriaki Dimitriadou, Zhan Li, Wenzhao Liu,
Olga Papaemmanouil, Kemi Peng, Liping
Peng. In Proceedings of 41st International
Conference on Very Large Databases (VLDB
2015) [pdf]
- Overview of Data Exploration
Techniques (Tutorial), Stratos
Idreos, Olga Papaemmanouil, Surajit
Chaudhuri. In Proceedings of 34th ACM
Special Interest Group in Data Management
(SIGMOD 2015). [pdf]
[slides]
(the slides cover part 1 (User
Interaction) and part 2 (Middleware
Optimizations))
- Skew-Aware Join Optimization for
Array Databases, Jenny Duggan, Olga
Papaemmanouil, Leilani Battle, Michael
Stonebraker. In Proceedings of 34th ACM
Special Interest Group in Data Management
(SIGMOD 2015). [pdf]
- Explore-by-Example: An Automatic
Query Steering Framework for Interactive
Data Exploration, Kyriaki
Dimitriadou, Olga Papaemmanouil, Yanlei
Diao. In Proceedings of 33rd ACM Special
Interest Group in Data Management (SIGMOD
2014). [pdf]
- Contender: A Resource Modeling
Approach for Concurrent Query
Performance Prediction, Jenny
Duggan, Olga Papaemmanouil, Ugur
Cetintemel, Eli Upfal. In Proceedings of
17th International Conference on Extending
Database Technology (EDBT 2014). [pdf]
- Devel-Op: An Optimizer Development
Environment (Demonstration), Zhibo
Peng, Mitch Cherniack, Olga Papaemmanouil.
In Proceedings of 30th IEEE International
Conference on Data Engineering (ICDE
2014). [pdf]
- Performance Prediction for Concurrent
Database Workloads, Jennie
Rogers, Ugur Cetintemel, Olga
Papaemmanouil, Eli Upfal. In Proceedings
of the 30th ACM Special Interest Group on
Management of Data (SIGMOD 2011). [pdf]
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