Carlo Curino

ORCID

Publication Activity (10 Years)

Years Active: 2004-2024
Publications (10 Years): 65

Top Venues

Publications

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
NL2SQL is a solved problem... Not! CIDR (2024)
Jesús Camacho-Rodríguez, Ashvin Agrawal, Anja Gruenheid, Ashit Gosalia, Cristian Petculescu, Josep Aguilar-Saborit, Avrilia Floratou, Carlo Curino, Raghu Ramakrishnan
LST-Bench: Benchmarking Log-Structured Tables in the Cloud. Proc. ACM Manag. Data 2 (1) (2024)
Ashvin Agrawal, Tim Brown, Anoop Johnson, Jesús Camacho-Rodríguez, Kyle Weller, Carlo Curino, Raghu Ramakrishnan
XTable in Action: Seamless Interoperability in Data Lakes. CoRR (2024)
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
Towards Building Autonomous Data Services on Azure. CoRR (2024)
Hanxian Huang, Tarique Siddiqui, Rana Alotaibi, Carlo Curino, Jyoti Leeka, Alekh Jindal, Jishen Zhao, Jesús Camacho-Rodríguez, Yuanyuan Tian
Sibyl: Forecasting Time-Evolving Query Workloads. CoRR (2024)
Sihem Amer-Yahia, Divyakant Agrawal, Yael Amsterdamer, Sourav S. Bhowmick, Renata Borovica-Gajic, Jesús Camacho-Rodríguez, Jinli Cao, Barbara Catania, Panos K. Chrysanthis, Carlo Curino, Amr El Abbadi, Avrilia Floratou, Juliana Freire, Stratos Idreos, Vana Kalogeraki, Sujaya Maiyya, Alexandra Meliou, Madhulika Mohanty, Fatma Özcan, Liat Peterfreund, Soror Sahri, Sana Sellami, Roee Shraga, Utku Sirin, Wang-Chiew Tan, Bhavani Thuraisingham, Yuanyuan Tian, Genoveva Vargas-Solar, Meihui Zhang, Wenjie Zhang
Diversity, Equity and Inclusion Activities in Database Conferences: A 2023 Report. SIGMOD Rec. 53 (2) (2024)
Hanxian Huang, Tarique Siddiqui, Rana Alotaibi, Carlo Curino, Jyoti Leeka, Alekh Jindal, Jishen Zhao, Jesús Camacho-Rodríguez, Yuanyuan Tian
Sibyl: Forecasting Time-Evolving Query Workloads. Proc. ACM Manag. Data 2 (1) (2024)
Carlo Curino, Raghu Ramakrishnan
AI for Systems. SIGMOD Conference Companion (2024)
K. Venkatesh Emani, Avrilia Floratou, Carlo Curino
PyFroid: Scaling Data Analysis on a Commodity Workstation. EDBT (2024)
Sihem Amer-Yahia, Divyakant Agrawal, Yael Amsterdamer, Sourav S. Bhowmick, Angela Bonifati, Renata Borovica-Gajic, Jesús Camacho-Rodríguez, Barbara Catania, Panos K. Chrysanthis, Carlo Curino, Jérôme Darmont, Gillian Dobbie, Amr El Abbadi, Avrilia Floratou, Juliana Freire, Alekh Jindal, Vana Kalogeraki, Sujaya Maiyya, Alexandra Meliou, Madhulika Mohanty, Behrooz Omidvar-Tehrani, Fatma Özcan, Liat Peterfreund, Wenny Rahayu, Shazia Sadiq, Sana Sellami, Utku Sirin, Wang-Chiew Tan, Bhavani Thuraisingham, Yuanyuan Tian, Pinar Tözün, Genoveva Vargas-Solar, Neeraja J. Yadwadkar, Victor Zakhary, Meihui Zhang
Diversity, Equity and Inclusion Activities in Database Conferences: A 2022 Report. SIGMOD Rec. 52 (2) (2023)
Fotis Psallidas, Ashvin Agrawal, Chandru Sugunan, Khaled Ibrahim, Konstantinos Karanasos, Jesús Camacho-Rodríguez, Avrilia Floratou, Carlo Curino, Raghu Ramakrishnan
OneProvenance: Efficient Extraction of Dynamic Coarse-Grained Provenance From Database Query Event Logs. Proc. VLDB Endow. 16 (12) (2023)
Apurva Gandhi, Yuki Asada, Victor Fu, Advitya Gemawat, Lihao Zhang, Rathijit Sen, Carlo Curino, Jesús Camacho-Rodríguez, Matteo Interlandi
The Tensor Data Platform: Towards an AI-centric Database System. CIDR (2023)
Xinyu Liu, K. Venkatesh Emani, Avrilia Floratou, Joyce Cahoon, Philip Seamark, Carlo Curino
PolySem: Efficient Polyglot Analytics on Semantic Data. VLDB Workshops (2023)
Jesús Camacho-Rodríguez, Ashvin Agrawal, Anja Gruenheid, Ashit Gosalia, Cristian Petculescu, Josep Aguilar-Saborit, Avrilia Floratou, Carlo Curino, Raghu Ramakrishnan
LST-Bench: Benchmarking Log-Structured Tables in the Cloud. CoRR (2023)
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
Towards Building Autonomous Data Services on Azure. SIGMOD Conference Companion (2023)
Carlo Curino
Tensor Query Processing: How to ride the AI investment wave for database analytics? SEBD (2023)
Andreas Müller, Carlo Curino, Raghu Ramakrishnan
MotherNet: A Foundational Hypernetwork for Tabular Classification. CoRR (2023)
Sihem Amer-Yahia, Yael Amsterdamer, Sourav S. Bhowmick, Angela Bonifati, Philippe Bonnet, Renata Borovica-Gajic, Barbara Catania, Tania Cerquitelli, Silvia Chiusano, Panos K. Chrysanthis, Carlo Curino, Jérôme Darmont, Amr El Abbadi, Avrilia Floratou, Juliana Freire, Alekh Jindal, Vana Kalogeraki, Georgia Koutrika, Arun Kumar, Sujaya Maiyya, Alexandra Meliou, Madhulika Mohanty, Felix Naumann, Nele Sina Noack, Fatma Özcan, Liat Peterfreund, Wenny Rahayu, Wang-Chiew Tan, Yuanyuan Tian, Pinar Tözün, Genoveva Vargas-Solar, Neeraja J. Yadwadkar, Meihui Zhang
Diversity and Inclusion Activities in Database Conferences: A 2021 Report. SIGMOD Rec. 51 (2) (2022)
Fotis Psallidas, Ashvin Agrawal, Chandru Sugunan, Khaled Ibrahim, Konstantinos Karanasos, Jesús Camacho-Rodríguez, Avrilia Floratou, Carlo Curino, Raghu Ramakrishnan
OneProvenance: Efficient Extraction of Dynamic Coarse-Grained Provenance from Database Logs. CoRR (2022)
Konstantinos Kanellis, Cong Ding, Brian Kroth, Andreas Müller, Carlo Curino, Shivaram Venkataraman
LlamaTune: Sample-Efficient DBMS Configuration Tuning. Proc. VLDB Endow. 15 (11) (2022)
Konstantinos Kanellis, Cong Ding, Brian Kroth, Andreas Müller, Carlo Curino, Shivaram Venkataraman
LlamaTune: Sample-Efficient DBMS Configuration Tuning. CoRR (2022)
Apurva Gandhi, Yuki Asada, Victor Fu, Advitya Gemawat, Lihao Zhang, Rathijit Sen, Carlo Curino, Jesús Camacho-Rodríguez, Matteo Interlandi
The Tensor Data Platform: Towards an AI-centric Database System. CoRR (2022)
Dong He, Supun Nakandala, Dalitso Banda, Rathijit Sen, Karla Saur, Kwanghyun Park, Carlo Curino, Jesús Camacho-Rodríguez, Konstantinos Karanasos, Matteo Interlandi
Query Processing on Tensor Computation Runtimes. CoRR (2022)
Dong He, Supun Chathuranga Nakandala, Dalitso Banda, Rathijit Sen, Karla Saur, Kwanghyun Park, Carlo Curino, Jesús Camacho-Rodríguez, Konstantinos Karanasos, Matteo Interlandi
Query Processing on Tensor Computation Runtimes. Proc. VLDB Endow. 15 (11) (2022)
Fotis Psallidas, Yiwen Zhu, Bojan Karlas, Jordan Henkel, Matteo Interlandi, Subru Krishnan, Brian Kroth, K. Venkatesh Emani, Wentao Wu, Ce Zhang, Markus Weimer, Avrilia Floratou, Carlo Curino, Konstantinos Karanasos
Data Science Through the Looking Glass: Analysis of Millions of GitHub Notebooks and ML.NET Pipelines. SIGMOD Rec. 51 (2) (2022)
Carlo Curino
Workload-driven systems optimization: things are getting real! DEBS (2021)
Alekh Jindal, K. Venkatesh Emani, Maureen Daum, Olga Poppe, Brandon Haynes, Anna Pavlenko, Ayushi Gupta, Karthik Ramachandra, Carlo Curino, Andreas Mueller, Wentao Wu, Hiren Patel
Magpie: Python at Speed and Scale using Cloud Backends. CIDR (2021)
Yiwen Zhu, Subru Krishnan, Konstantinos Karanasos, Isha Tarte, Conor Power, Abhishek Modi, Manoj Kumar, Deli Zhang, Kartheek Muthyala, Nick Jurgens, Sarvesh Sakalanaga, Sudhir Darbha, Minu Iyer, Ankita Agarwal, Carlo Curino
KEA: Tuning an Exabyte-Scale Data Infrastructure. CoRR (2021)
Yiwen Zhu, Subru Krishnan, Konstantinos Karanasos, Isha Tarte, Conor Power, Abhishek Modi, Manoj Kumar, Deli Zhang, Kartheek Muthyala, Nick Jurgens, Sarvesh Sakalanaga, Sudhir Darbha, Minu Iyer, Ankita Agarwal, Carlo Curino
KEA: Tuning an Exabyte-Scale Data Infrastructure. SIGMOD Conference (2021)
Joana M. F. da Trindade, Konstantinos Karanasos, Carlo Curino, Samuel Madden, Julian Shun
Kaskade: Graph Views for Efficient Graph Analytics. ICDE (2020)
Supun Nakandala, Karla Saur, Gyeong-In Yu, Konstantinos Karanasos, Carlo Curino, Markus Weimer, Matteo Interlandi
A Tensor Compiler for Unified Machine Learning Prediction Serving. CoRR (2020)
Carlo Curino, Neha Godwal, Brian Kroth, Sergiy Kuryata, Greg Lapinski, Siqi Liu, Slava Oks, Olga Poppe, Adam Smiechowski, Ed Thayer, Markus Weimer, Yiwen Zhu
MLOS: An Infrastructure for Automated Software Performance Engineering. DEEM@SIGMOD (2020)
Ashvin Agrawal, Rony Chatterjee, Carlo Curino, Avrilia Floratou, Neha Godwal, Matteo Interlandi, Alekh Jindal, Konstantinos Karanasos, Subru Krishnan, Brian Kroth, Jyoti Leeka, Kwanghyun Park, Hiren Patel, Olga Poppe, Fotis Psallidas, Raghu Ramakrishnan, Abhishek Roy, Karla Saur, Rathijit Sen, Markus Weimer, Travis Wright, Yiwen Zhu
Cloudy with high chance of DBMS: a 10-year prediction for Enterprise-Grade ML. CIDR (2020)
Konstantinos Karanasos, Matteo Interlandi, Fotis Psallidas, Rathijit Sen, Kwanghyun Park, Ivan Popivanov, Doris Xin, Supun Nakandala, Subru Krishnan, Markus Weimer, Yuan Yu, Raghu Ramakrishnan, Carlo Curino
Extending Relational Query Processing with ML Inference. CIDR (2020)
Olga Poppe, Tayo Amuneke, Dalitso Banda, Aritra De, Ari Green, Manon Knoertzer, Ehi Nosakhare, Karthik Rajendran, Deepak Shankargouda, Meina Wang, Alan Au, Carlo Curino, Qun Guo, Alekh Jindal, Ajay Kalhan, Morgan Oslake, Sonia Parchani, Vijay Ramani, Raj Sellappan, Saikat Sen, Sheetal Shrotri, Soundararajan Srinivasan, Ping Xia, Shize Xu, Alicia Yang, Yiwen Zhu
Seagull: An Infrastructure for Load Prediction and Optimized Resource Allocation. Proc. VLDB Endow. 14 (2) (2020)
Supun Nakandala, Karla Saur, Gyeong-In Yu, Konstantinos Karanasos, Carlo Curino, Markus Weimer, Matteo Interlandi
A Tensor Compiler for Unified Machine Learning Prediction Serving. OSDI (2020)
Olga Poppe, Tayo Amuneke, Dalitso Banda, Aritra De, Ari Green, Manon Knoertzer, Ehi Nosakhare, Karthik Rajendran, Deepak Shankargouda, Meina Wang, Alan Au, Carlo Curino, Qun Guo, Alekh Jindal, Ajay Kalhan, Morgan Oslake, Sonia Parchani, Vijay Ramani, Raj Sellappan, Saikat Sen, Sheetal Shrotri, Soundararajan Srinivasan, Ping Xia, Shize Xu, Alicia Yang, Yiwen Zhu
Seagull: An Infrastructure for Load Prediction and Optimized Resource Allocation. CoRR (2020)
Andrew Chung, Subru Krishnan, Konstantinos Karanasos, Carlo Curino, Gregory R. Ganger
Unearthing inter-job dependencies for better cluster scheduling. OSDI (2020)
Carlo Curino, Neha Godwal, Brian Kroth, Sergiy Kuryata, Greg Lapinski, Siqi Liu, Slava Oks, Olga Poppe, Adam Smiechowski, Ed Thayer, Markus Weimer, Yiwen Zhu
MLOS: An Infrastructure for Automated Software Performance Engineering. CoRR (2020)
Carlo Curino, Subru Krishnan, Konstantinos Karanasos, Sriram Rao, Giovanni Matteo Fumarola, Botong Huang, Kishore Chaliparambil, Arun Suresh, Young Chen, Solom Heddaya, Roni Burd, Sarvesh Sakalanaga, Chris Douglas, Bill Ramsey, Raghu Ramakrishnan
Hydra: a federated resource manager for data-center scale analytics. NSDI (2019)
Ashvin Agrawal, Rony Chatterjee, Carlo Curino, Avrilia Floratou, Neha Godwal, Matteo Interlandi, Alekh Jindal, Konstantinos Karanasos, Subru Krishnan, Brian Kroth, Jyoti Leeka, Kwanghyun Park, Hiren Patel, Olga Poppe, Fotis Psallidas, Raghu Ramakrishnan, Abhishek Roy, Karla Saur, Rathijit Sen, Markus Weimer, Travis Wright, Yiwen Zhu
Cloudy with high chance of DBMS: A 10-year prediction for Enterprise-Grade ML. CoRR (2019)
Liqun Shao, Yiwen Zhu, Abhiram Eswaran, Kristin Lieber, Janhavi Suresh Mahajan, Minsoo Thigpen, Sudhir Darbha, Siqi Liu, Subru Krishnan, Soundar Srinivasan, Carlo Curino, Konstantinos Karanasos
Griffon: Reasoning about Job Anomalies with Unlabeled Data in Cloud-based Platforms. CoRR (2019)
Joana M. F. da Trindade, Konstantinos Karanasos, Carlo Curino, Samuel Madden, Julian Shun
Kaskade: Graph Views for Efficient Graph Analytics. CoRR (2019)
Liqun Shao, Yiwen Zhu, Siqi Liu, Abhiram Eswaran, Kristin Lieber, Janhavi Suresh Mahajan, Minsoo Thigpen, Sudhir Darbha, Subru Krishnan, Soundar Srinivasan, Carlo Curino, Konstantinos Karanasos
Griffon: Reasoning about Job Anomalies with Unlabeled Data in Cloud-based Platforms. SoCC (2019)
Konstantinos Karanasos, Matteo Interlandi, Doris Xin, Fotis Psallidas, Rathijit Sen, Kwanghyun Park, Ivan Popivanov, Supun Nakandala, Subru Krishnan, Markus Weimer, Yuan Yu, Raghu Ramakrishnan, Carlo Curino
Extending Relational Query Processing with ML Inference. CoRR (2019)
Abhishek Roy, Alekh Jindal, Hiren Patel, Ashit Gosalia, Subru Krishnan, Carlo Curino
SparkCruise: Handsfree Computation Reuse in Spark. Proc. VLDB Endow. 12 (12) (2019)
Andrew Chung, Carlo Curino, Subru Krishnan, Konstantinos Karanasos, Panagiotis Garefalakis, Gregory R. Ganger
Peering through the Dark: An Owl's View of Inter-job Dependencies and Jobs' Impact in Shared Clusters. SIGMOD Conference (2019)
Fotis Psallidas, Yiwen Zhu, Bojan Karlas, Matteo Interlandi, Avrilia Floratou, Konstantinos Karanasos, Wentao Wu, Ce Zhang, Subru Krishnan, Carlo Curino, Markus Weimer
Data Science through the looking glass and what we found there. CoRR (2019)
Konstantinos Karanasos, Yiwen Zhu, Abhiram Eswaran, Liqun Shao, Janhavi Suresh Mahajan, Subru Krishnan, Sudhir Darbha, Minsoo Thigpen, Kristin Lieber, Soundar Srinivasan, Siqi Liu, Carlo Curino
Griffon: Reasoning about Job Anomalies with Unlabeled Data in Cloud-based Platforms. SoCC (2019)
Ignacio Cano, Markus Weimer, Dhruv Mahajan, Carlo Curino, Giovanni Matteo Fumarola, Arvind Krishnamurthy
Towards Geo-Distributed Machine Learning. IEEE Data Eng. Bull. 40 (4) (2017)
Byung-Gon Chun, Tyson Condie, Yingda Chen, Brian Cho, Andrew Chung, Carlo Curino, Chris Douglas, Matteo Interlandi, Beomyeol Jeon, Joo Seong Jeong, Gyewon Lee, Yunseong Lee, Tony Majestro, Dahlia Malkhi, Sergiy Matusevych, Brandon Myers, Mariia Mykhailova, Shravan M. Narayanamurthy, Joseph Noor, Raghu Ramakrishnan, Sriram Rao, Russell Sears, Beysim Sezgin, Taegeon Um, Julia Wang, Markus Weimer, Youngseok Yang
Apache REEF: Retainable Evaluator Execution Framework. ACM Trans. Comput. Syst. 35 (2) (2017)
Moshe Babaioff, Yishay Mansour, Noam Nisan, Gali Noti, Carlo Curino, Nar Ganapathy, Ishai Menache, Omer Reingold, Moshe Tennenholtz, Erez Timnat
ERA: A Framework for Economic Resource Allocation for the Cloud. WWW (Companion Volume) (2017)
Moshe Babaioff, Yishay Mansour, Noam Nisan, Gali Noti, Carlo Curino, Nar Ganapathy, Ishai Menache, Omer Reingold, Moshe Tennenholtz, Erez Timnat
ERA: A Framework for Economic Resource Allocation for the Cloud. CoRR (2017)
Ruslan Mavlyutov, Carlo Curino, Boris Asipov, Philippe Cudré-Mauroux
Dependency-Driven Analytics: A Compass for Uncharted Data Oceans. CIDR (2017)
Ignacio Cano, Markus Weimer, Dhruv Mahajan, Carlo Curino, Giovanni Matteo Fumarola
Towards Geo-Distributed Machine Learning. CoRR (2016)
Sangeetha Abdu Jyothi, Carlo Curino, Ishai Menache, Shravan Matthur Narayanamurthy, Alexey Tumanov, Jonathan Yaniv, Ruslan Mavlyutov, Iñigo Goiri, Subru Krishnan, Janardhan Kulkarni, Sriram Rao
Morpheus: Towards Automated SLOs for Enterprise Clusters. OSDI (2016)
Kaushik Rajan, Dharmesh Kakadia, Carlo Curino, Subru Krishnan
PerfOrator: eloquent performance models for Resource Optimization. SoCC (2016)
Dana Van Aken, Djellel Eddine Difallah, Andrew Pavlo, Carlo Curino, Philippe Cudré-Mauroux
BenchPress: Dynamic Workload Control in the OLTP-Bench Testbed. SIGMOD Conference (2015)
Ashish Vulimiri, Carlo Curino, Philip Brighten Godfrey, Thomas Jungblut, Konstantinos Karanasos, Jitendra Padhye, George Varghese
WANalytics: Geo-Distributed Analytics for a Data Intensive World. SIGMOD Conference (2015)
Ashish Vulimiri, Carlo Curino, Philip Brighten Godfrey, Thomas Jungblut, Jitu Padhye, George Varghese
Global Analytics in the Face of Bandwidth and Regulatory Constraints. NSDI (2015)
Bikas Saha, Hitesh Shah, Siddharth Seth, Gopal Vijayaraghavan, Arun C. Murthy, Carlo Curino
Apache Tez: A Unifying Framework for Modeling and Building Data Processing Applications. SIGMOD Conference (2015)
Konstantinos Karanasos, Sriram Rao, Carlo Curino, Chris Douglas, Kishore Chaliparambil, Giovanni Matteo Fumarola, Solom Heddaya, Raghu Ramakrishnan, Sarvesh Sakalanaga
Mercury: Hybrid Centralized and Distributed Scheduling in Large Shared Clusters. USENIX Annual Technical Conference (2015)
Markus Weimer, Yingda Chen, Byung-Gon Chun, Tyson Condie, Carlo Curino, Chris Douglas, Yunseong Lee, Tony Majestro, Dahlia Malkhi, Sergiy Matusevych, Brandon Myers, Shravan M. Narayanamurthy, Raghu Ramakrishnan, Sriram Rao, Russell Sears, Beysim Sezgin, Julia Wang
REEF: Retainable Evaluator Execution Framework. SIGMOD Conference (2015)
Ashish Vulimiri, Carlo Curino, Brighten Godfrey, Konstantinos Karanasos, George Varghese
WANalytics: Analytics for a Geo-Distributed Data-Intensive World. CIDR (2015)
Chris Douglas, Carlo Curino
Blind men and an elephant coalescing open-source, academic, and industrial perspectives on BigData. ICDE (2015)
Carlo Curino, Djellel Eddine Difallah, Chris Douglas, Subru Krishnan, Raghu Ramakrishnan, Sriram Rao
Reservation-based Scheduling: If You're Late Don't Blame Us! SoCC (2014)
Chaitanya K. Baru, Milind A. Bhandarkar, Carlo Curino, Manuel Danisch, Michael Frank, Bhaskar Gowda, Hans-Arno Jacobsen, Huang Jie, Dileep Kumar, Raghunath Othayoth Nambiar, Meikel Poess, Francois Raab, Tilmann Rabl, Nishkam Ravi, Kai Sachs, Saptak Sen, Lan Yi, Choonhan Youn
Discussion of BigBench: A Proposed Industry Standard Performance Benchmark for Big Data. TPCTC (2014)
Ashraf Aboulnaga, Carlo Curino
Second International Workshop on Data Management in the Cloud. IEEE Data Eng. Bull. 36 (2) (2013)
Vinod Kumar Vavilapalli, Arun C. Murthy, Chris Douglas, Sharad Agarwal, Mahadev Konar, Robert Evans, Thomas Graves, Jason Lowe, Hitesh Shah, Siddharth Seth, Bikas Saha, Carlo Curino, Owen O'Malley, Sanjay Radia, Benjamin Reed, Eric Baldeschwieler
Apache Hadoop YARN: yet another resource negotiator. SoCC (2013)
Barzan Mozafari, Carlo Curino, Alekh Jindal, Samuel Madden
Performance and resource modeling in highly-concurrent OLTP workloads. SIGMOD Conference (2013)
Barzan Mozafari, Carlo Curino, Samuel Madden
DBSeer: Resource and Performance Prediction for Building a Next Generation Database Cloud. CIDR (2013)
Djellel Eddine Difallah, Andrew Pavlo, Carlo Curino, Philippe Cudré-Mauroux
OLTP-Bench: An Extensible Testbed for Benchmarking Relational Databases. Proc. VLDB Endow. 7 (4) (2013)
Carlo Curino, Hyun Jin Moon, Alin Deutsch, Carlo Zaniolo
Automating the database schema evolution process. VLDB J. 22 (1) (2013)
Kedar Bellare, Carlo Curino, Ashwin Machanavajihala, Peter Mika, Mandar Rahurkar, Aamod Sane
WOO: A Scalable and Multi-tenant Platform for Continuous Knowledge Base Synthesis. Proc. VLDB Endow. 6 (11) (2013)
Byung-Gon Chun, Tyson Condie, Carlo Curino, Raghu Ramakrishnan, Russell Sears, Markus Weimer
REEF: Retainable Evaluator Execution Framework. Proc. VLDB Endow. 6 (12) (2013)
Aaron J. Elmore, Carlo Curino, Divyakant Agrawal, Amr El Abbadi
Towards Database Virtualization for Database as a Service. Proc. VLDB Endow. 6 (11) (2013)
Aubrey Tatarowicz, Carlo Curino, Evan P. C. Jones, Sam Madden
Lookup Tables: Fine-Grained Partitioning for Distributed Databases. ICDE (2012)
James F. Terwilliger, Anthony Cleve, Carlo Curino
How Clean Is Your Sandbox? - Towards a Unified Theoretical Framework for Incremental Bidirectional Transformations. ICMT@TOOLS (2012)
Byung-Gon Chun, Carlo Curino, Russell Sears, Alexander Shraer, Samuel Madden, Raghu Ramakrishnan
Mobius: unified messaging and data serving for mobile apps. MobiSys (2012)
Carlo Curino, Djellel Eddine Difallah, Andrew Pavlo, Philippe Cudré-Mauroux
Benchmarking OLTP/web databases in the cloud: the OLTP-bench framework. CloudDB@CIKM (2012)
Andrew Pavlo, Carlo Curino, Stanley B. Zdonik
Skew-aware automatic database partitioning in shared-nothing, parallel OLTP systems. SIGMOD Conference (2012)
Eugene Wu, Carlo Curino, Samuel Madden
No bits left behind. CIDR (2011)
Carlo Curino, Evan P. C. Jones, Samuel Madden, Hari Balakrishnan
Workload-aware database monitoring and consolidation. SIGMOD Conference (2011)
Carlo Curino, Evan P. C. Jones, Raluca A. Popa, Nirmesh Malviya, Eugene Wu, Samuel Madden, Hari Balakrishnan, Nickolai Zeldovich
Relational Cloud: a Database Service for the cloud. CIDR (2011)
Carlo Curino, Hyun Jin Moon, Alin Deutsch, Carlo Zaniolo
Update Rewriting and Integrity Constraint Maintenance in a Schema Evolution Support System: PRISM++. Proc. VLDB Endow. 4 (2) (2010)
Hyun Jin Moon, Carlo Curino, Carlo Zaniolo
Scalable architecture and query optimization fortransaction-time DBs with evolving schemas. SIGMOD Conference (2010)
Carlo Curino, Yang Zhang, Evan P. C. Jones, Samuel Madden
Schism: a Workload-Driven Approach to Database Replication and Partitioning. Proc. VLDB Endow. 3 (1) (2010)
Hyun Jin Moon, Carlo Curino, MyungWon Ham, Carlo Zaniolo
PRIMA: archiving and querying historical data with evolving schemas. SIGMOD Conference (2009)
Cristiana Bolchini, Carlo Curino, Giorgio Orsi, Elisa Quintarelli, Rosalba Rossato, Fabio Alberto Schreiber, Letizia Tanca
And what can context do for data? Commun. ACM 52 (11) (2009)
Carlo Curino, Hyun Jin Moon, Carlo Zaniolo
Automating Database Schema Evolution in Information System Upgrades. HotSWUp (2009)
Carlo Curino, Giorgio Orsi, Emanuele Panigati, Letizia Tanca
Accessing and Documenting Relational Databases through OWL Ontologies. FQAS (2009)
Cristiana Bolchini, Carlo Curino, Elisa Quintarelli, Fabio Alberto Schreiber, Letizia Tanca
Context information for knowledge reshaping. Int. J. Web Eng. Technol. 5 (1) (2009)
Carlo Curino, Hyun Jin Moon, MyungWon Ham, Carlo Zaniolo
The PRISM Workwench: Database Schema Evolution without Tears. ICDE (2009)
Carlo Curino, Hyun Jin Moon, Letizia Tanca, Carlo Zaniolo
Schema Evolution in Wikipedia - Toward a Web Information System Benchmark. ICEIS (1) (2008)
Carlo Curino, Luca Fossati, Vincenzo Rana, Francesco Redaelli, Marco D. Santambrogio, Donatella Sciuto
The Shining embedded system design methodology based on self dynamic reconfigurable architectures. ASP-DAC (2008)
Silvia Bindelli, Claudio Criscione, Carlo Curino, Mauro Luigi Drago, Davide Eynard, Giorgio Orsi
Improving Search and Navigation by Combining Ontologies and Social Tags. OTM Workshops (2008)
Carlo Curino, Hyun Jin Moon, Carlo Zaniolo
Graceful database schema evolution: the PRISM workbench. Proc. VLDB Endow. 1 (1) (2008)
Carlo Curino, Hyun Jin Moon, Carlo Zaniolo
Managing the History of Metadata in Support for DB Archiving and Schema Evolution. ER Workshops (2008)
Hyun Jin Moon, Carlo Curino, Alin Deutsch, Chien-Yi Hou, Carlo Zaniolo
Managing and querying transaction-time databases under schema evolution. Proc. VLDB Endow. 1 (1) (2008)
Cristiana Bolchini, Carlo Curino, Elisa Quintarelli, Fabio Alberto Schreiber, Letizia Tanca
A data-oriented survey of context models. SIGMOD Rec. 36 (4) (2007)

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Publication Activity (10 Years)

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Carlo Curino