Rana Alotaibi

According to our database, Rana Alotaibi authored at least 13 papers between 2019 and 2024.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2024

MLOS in Action: Bridging the Gap Between Experimentation and Auto-Tuning in the Cloud.

Brian Kroth, Sergiy Matusevych, Rana Alotaibi, Yiwen Zhu, Anja Gruenheid, Yuanyuan Tian

Proc. VLDB Endow., August, 2024

Sibyl: Forecasting Time-Evolving Query Workloads.

Hanxian Huang, Tarique Siddiqui, Rana Alotaibi, Carlo Curino, Jyoti Leeka, Alekh Jindal, Jishen Zhao, Jesús Camacho-Rodríguez, Yuanyuan Tian

Proc. ACM Manag. Data, February, 2024

Towards Query Optimizer as a Service (QOaaS) in a Unified LakeHouse Ecosystem: Can One QO Rule Them All?

Rana Alotaibi, Yuanyuan Tian, Stefan Grafberger, Jesús Camacho-Rodríguez, Nicolas Bruno, Brian Kroth, Sergiy Matusevych, Ashvin Agrawal, Mahesh Behera, Ashit Gosalia, César A. Galindo-Legaria, Milind Joshi, Milan Potocnik, Beysim Sezgin, Xiaoyu Li, Carlo Curino

CoRR, 2024

NL2SQL is a solved problem... Not!

Avrilia Floratou, Fotis Psallidas, Fuheng Zhao, Shaleen Deep, Gunther Hagleither, Wangda Tan, Joyce Cahoon, Rana Alotaibi, Jordan Henkel, Abhik Singla, Alex Van Grootel, Brandon Chow, Kai Deng, Katherine Lin, Marcos Campos, K. Venkatesh Emani, Vivek Pandit, Victor Shnayder, Wenjing Wang, Carlo Curino

Proceedings of the 14th Conference on Innovative Data Systems Research, 2024

2023

GEqO: ML-Accelerated Semantic Equivalence Detection.

Brandon Haynes, Rana Alotaibi, Anna Pavlenko, Jyoti Leeka, Alekh Jindal, Yuanyuan Tian

Proc. ACM Manag. Data, December, 2023

HERMES: data placement and schema optimization for enterprise knowledge bases.

Chuan Lei, Abdul Quamar, Vasilis Efthymiou, Fatma Özcan, Rana Alotaibi

VLDB J., May, 2023

Towards Building Autonomous Data Services on Azure.

Yiwen Zhu, Yuanyuan Tian, Joyce Cahoon, Subru Krishnan, Ankita Agarwal, Rana Alotaibi, Jesús Camacho-Rodríguez, Bibin Chundatt, Andrew Chung, Niharika Dutta, Andrew Fogarty, Anja Gruenheid, Brandon Haynes, Matteo Interlandi, Minu Iyer, Nick Jurgens, Sumeet Khushalani, Brian Kroth, Manoj Kumar, Jyoti Leeka, Sergiy Matusevych, Minni Mittal, Andreas Müller, Kartheek Muthyala, Harsha Nagulapalli, Yoonjae Park, Hiren Patel, Anna Pavlenko, Olga Poppe, Santhosh Ravindran, Karla Saur, Rathijit Sen, Steve Suh, Arijit Tarafdar, Kunal Waghray, Demin Wang, Carlo Curino, Raghu Ramakrishnan

Proceedings of the Companion of the 2023 International Conference on Management of Data, 2023

2022

Semantic Optimizations in Modern Hybrid Stores

Rana Alotaibi

PhD thesis, 2022

2021

HADAD: A Lightweight Approach for Optimizing Hybrid Complex Analytics Queries (Extended Version).

Rana Alotaibi, Bogdan Cautis, Alin Deutsch, Ioana Manolescu

CoRR, 2021

HADAD: A Lightweight Approach for Optimizing Hybrid Complex Analytics Queries.

Rana Alotaibi, Bogdan Cautis, Alin Deutsch, Ioana Manolescu

Proceedings of the SIGMOD '21: International Conference on Management of Data, 2021

Property Graph Schema Optimization for Domain-Specific Knowledge Graphs.

Rana Alotaibi, Chuan Lei, Abdul Quamar, Vasilis Efthymiou, Fatma Özcan

Proceedings of the 37th IEEE International Conference on Data Engineering, 2021

2020

ESTOCADA: Towards Scalable Polystore Systems.

Rana Alotaibi, Bogdan Cautis, Alin Deutsch, Moustafa Latrache, Ioana Manolescu, Yifei Yang

Proc. VLDB Endow., 2020

2019

Towards Scalable Hybrid Stores: Constraint-Based Rewriting to the Rescue.

Rana Alotaibi, Damian Bursztyn, Alin Deutsch, Ioana Manolescu, Stamatis Zampetakis

Proceedings of the 2019 International Conference on Management of Data, 2019