Publications

Towards Query Optimizer as a Service (QOaaS) in a Unified LakeHouse Ecosystem: Can One QO Rule Them All? [PDF]
Rana Alotaibi, Yuanyuan Tian, Stefan Grafberger, Jesús Camacho-Rodríguez, Nicolas Bruno, Brian Kroth, Sergiy Matusevych, Ashvin Agrawal, Mahesh Behera, Ashit Gosalia, Cesar Galindo-Legaria, Milind Joshi, Milan Potocnik, Beysim Sezgin, Xiaoyu Li, Carlo Curino.
Conference on Innovative Data Systems Research (CIDR), 2025.

Vertically Autoscaling Monolithic Applications with CaaSPER: Scalable Container-as-a-Service Performance Enhanced Resizing Algorithm for the Cloud [PDF]
Anna Pavlenko, Joyce Cahoon, Yiwen Zhu, Brian Kroth, Michael Nelson, Andrew Carter, David Liao, Travis Wright, Jesús Camacho-Rodríguez, Karla Saur.
ACM International Conference on Management of Data (SIGMOD), 2024.

LST-Bench: Benchmarking Log-Structured Tables in the Cloud [PDF]
Jesús Camacho-Rodríguez, Ashvin Agrawal, Anja Gruenheid, Ashit Gosalia, Cristian Petculescu, Josep Aguilar-Saborit, Avrilia Floratou, Carlo Curino, Raghu Ramakrishnan.
ACM International Conference on Management of Data (SIGMOD), 2024.

Sibyl: Forecasting Time-Evolving Query Workloads [PDF]
Hanxian Huang, Tarique Siddiqui, Rana Alotaibi, Carlo Curino, Jyoti Leeka, Alekh Jindal, Jishen Zhao, Jesús Camacho-Rodríguez, Yuanyuan Tian.
ACM International Conference on Management of Data (SIGMOD), 2024.

VASIM: Vertical Autoscaling Simulator Toolkit [PDF]
Anna Pavlenko, Karla Saur, Yiwen Zhu, Brian Kroth, Joyce Cahoon, Jesús Camacho-Rodríguez.
Demo at IEEE International Conference on Data Engineering (ICDE), 2024.

Optimizing Data Pipelines for Machine Learning in Feature Stores [PDF]
Rui Liu, Kwanghyun Park, Fotis Psallidas, Xiaoyong Zhu, Jinghui Mo, Rathijit Sen, Matteo Interlandi, Konstantinos Karanasos, Yuanyuan Tian, Jesús Camacho-Rodríguez.
International Conference on Very Large Data Bases (VLDB), 2023.

OneProvenance: Efficient Extraction of Dynamic Coarse-Grained Provenance from Database Logs [PDF]
Fotis Psallidas, Ashvin Agrawal, Chandru Sugunan, Khaled Ibrahim, Konstantinos Karanasos, Jesús Camacho-Rodríguez, Avrilia Floratou, Carlo Curino, Raghu Ramakrishnan.
International Conference on Very Large Data Bases (VLDB), 2023.

Towards Building Autonomous Data Services on Azure [PDF]
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 Mueller, 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.
ACM International Conference on Management of Data (SIGMOD), 2023.

Query Processing on Gaming Consoles [PDF]
Wei Cui, Qianxi Zhang, Spyros Blanas, Jesús Camacho-Rodríguez, Brandon Haynes, Yinan Li, Ravi Ramamurthy, Peng Cheng, Rathijit Sen, Matteo Interlandi.
Workshop on Data Management on New Hardware (DaMoN). Colocated with ACM International Conference on Management of Data (SIGMOD), 2023.

The Tensor Data Platform: Towards an AI-centric Database System [PDF]
Apurva Gandhi, Yuki Asada, Victor Fu, Advitya Gemawat, Lihao Zhang, Rathijit Sen, Carlo Curino, Jesús Camacho-Rodríguez, Matteo Interlandi.
Conference on Innovative Data Systems Research (CIDR), 2023.

Query Processing on Tensor Computation Runtimes [PDF]
Dong He, Supun Nakandala, Dalitso Banda, Rathijit Sen, Karla Saur, Kwanghyun Park, Carlo Curino, Jesús Camacho-Rodríguez, Konstantinos Karanasos, Matteo Interlandi.
International Conference on Very Large Data Bases (VLDB), 2022.

Containerized Execution of UDFs: An Experimental Evaluation [PDF]
Karla Saur, Tara Mirmira, Konstantinos Karanasos, Jesús Camacho-Rodríguez.
International Conference on Very Large Data Bases (VLDB), 2022.

Apache Hive: From MapReduce to Enterprise-grade Big Data Warehousing [PDF]
Jesús Camacho-Rodríguez, Ashutosh Chauhan, Alan Gates, Eugene Koifman, Owen O’Malley, Vineet Garg, Zoltan Haindrich, Sergey Shelukhin, Prasanth Jayachandran, Siddharth Seth, Deepak Jaiswal, Slim Bouguerra, Nishant Bangarwa, Sankar Hariappan, Anishek Agarwal, Jason Dere, Daniel Dai, Thejas Nair, Nita Dembla, Gopal Vijayaraghavan, Günther Hagleitner.
ACM International Conference on Management of Data (SIGMOD), 2019.

Apache Calcite: A Foundational Framework for Optimized Query Processing Over Heterogeneous Data Sources [PDF]
Edmon Begoli, Jesús Camacho-Rodríguez, Julian Hyde, Michael J. Mior, Daniel Lemire.
ACM International Conference on Management of Data (SIGMOD), 2018.

Reuse-based Optimization for Pig Latin [PDF]
Jesús Camacho-Rodríguez, Dario Colazzo, Melanie Herschel, Ioana Manolescu, Soudip Roy Chowdhury.
ACM Conference on Information and Knowledge Management (CIKM), 2016.

PigReuse: A Reuse-based Optimizer for Pig Latin [PDF]
Jesús Camacho-Rodríguez, Dario Colazzo, Melanie Herschel, Ioana Manolescu, Soudip Roy Chowdhury.
Technical Report. Inria Saclay, 2016.

PAXQuery: Parallel Analytical XML Processing [PDF]
Jesús Camacho-Rodríguez, Dario Colazzo, Ioana Manolescu, Juan A. M. Naranjo.
Demo at ACM International Conference on Management of Data (SIGMOD), 2015.

PAXQuery: Efficient Parallel Processing of Complex XQuery [PDF]
Jesús Camacho-Rodríguez, Dario Colazzo, Ioana Manolescu.
IEEE Transactions on Knowledge and Data Engineering (TKDE), 2015.

Efficient techniques for large-scale Web data management [PDF]
Jesús Camacho-Rodríguez.
PhD Thesis. Université Paris-Sud and Inria, 2014.

PAXQuery: A Massively Parallel XQuery Processor [PDF]
Jesús Camacho-Rodríguez, Dario Colazzo, Ioana Manolescu.
Workshop on Data analytics in the Cloud (DanaC). Colocated with ACM International Conference on Management of Data (SIGMOD), 2014.

SPARQL Query Processing in the Cloud
Francesca Bugiotti, Jesús Camacho-Rodríguez, François Goasdoué, Zoi Kaoudi, Ioana Manolescu, Stamatis Zampetakis.
Book chapter in Linked Data Management. Andreas Harth, Katja Hose, Ralf Schenkel.
Series on Emerging Directions in Database Systems and Applications.
Chapman and Hall/CRC, USA, 2014. ISBN: 978-146-6582-40-8.

Web Data Indexing in the Cloud: Efficiency and Cost Reductions [PDF]
Jesús Camacho-Rodríguez, Dario Colazzo, Ioana Manolescu.
International Conference on Extending Database Technology (EDBT), 2013.

AMADA: Web Data Repositories in the Amazon Cloud [PDF]
Andrés Aranda-Andújar, Francesca Bugiotti, Jesús Camacho-Rodríguez, Dario Colazzo, François Goasdoué, Zoi Kaoudi, Ioana Manolescu.
Demo at ACM Conference on Information and Knowledge Management (CIKM), 2012.

Building Large XML Stores in the Amazon Cloud [PDF]
Jesús Camacho-Rodríguez, Dario Colazzo, Ioana Manolescu.
Workshop on Data Management in the Cloud (DMC). Colocated with IEEE International Conference on Data Engineering (ICDE), 2012.

LiquidXML: Adaptive XML Content Redistribution [PDF]
Jesús Camacho-Rodríguez, Asterios Katsifodimos, Ioana Manolescu, Alexandra Roatis.
Demo at ACM Conference on Information and Knowledge Management (CIKM), 2010.

Viewing a World of Annotations through AnnoVIP [PDF]
Jesús Camacho-Rodríguez, Konstantinos Karanasos, Ioana Manolescu, Alin Tilea, Spyros Zoupanos.
Demo at Journées Bases de Données Avancées (BDA), 2010.