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2020 – today
- 2024
- [j27]Hanxian Huang
, Tarique Siddiqui
Sibyl: Forecasting Time-Evolving Query Workloads. Proc. ACM Manag. Data 2(1): 53:1-53:27 (2024) - [j26]Jesús Camacho-Rodríguez
LST-Bench: Benchmarking Log-Structured Tables in the Cloud. Proc. ACM Manag. Data 2(1): 59:1-59:26 (2024) - [j25]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): 63-67 (2024) - [c62]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 - [c61]K. Venkatesh Emani, Avrilia Floratou, Carlo Curino:
PyFroid: Scaling Data Analysis on a Commodity Workstation. EDBT 2024: 61-67 - [c60]Carlo Curino
AI for Systems. SIGMOD Conference Companion 2024: 546 - [i20]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 abs/2401.03723 (2024) - [i19]Ashvin Agrawal, Tim Brown, Anoop Johnson, Jesús Camacho-Rodríguez, Kyle Weller, Carlo Curino, Raghu Ramakrishnan:
XTable in Action: Seamless Interoperability in Data Lakes. CoRR abs/2401.09621 (2024) - [i18]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 abs/2405.01813 (2024) - 2023
- [j24]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): 3662-3675 (2023) - [j23]Sihem Amer-Yahia, Divyakant Agrawal, Yael Amsterdamer, Sourav S. Bhowmick, Angela Bonifati, Renata Borovica-Gajic
Diversity, Equity and Inclusion Activities in Database Conferences: A 2022 Report. SIGMOD Rec. 52(2): 38-42 (2023) - [c59]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 - [c58]Carlo Curino:
Tensor Query Processing: How to ride the AI investment wave for database analytics? SEBD 2023: 5-6 - [c57]Yiwen Zhu
Towards Building Autonomous Data Services on Azure. SIGMOD Conference Companion 2023: 217-224 - [c56]Xinyu Liu, K. Venkatesh Emani, Avrilia Floratou, Joyce Cahoon, Philip Seamark, Carlo Curino:
PolySem: Efficient Polyglot Analytics on Semantic Data. VLDB Workshops 2023 - [i17]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 abs/2305.01120 (2023) - [i16]Andreas Müller, Carlo Curino, Raghu Ramakrishnan:
MotherNet: A Foundational Hypernetwork for Tabular Classification. CoRR abs/2312.08598 (2023) - 2022
- [j22]Dong He, Supun Chathuranga Nakandala, Dalitso Banda, Rathijit Sen, Karla Saur, Kwanghyun Park
Query Processing on Tensor Computation Runtimes. Proc. VLDB Endow. 15(11): 2811-2825 (2022) - [j21]Konstantinos Kanellis, Cong Ding, Brian Kroth, Andreas Müller, Carlo Curino, Shivaram Venkataraman:
LlamaTune: Sample-Efficient DBMS Configuration Tuning. Proc. VLDB Endow. 15(11): 2953-2965 (2022) - [j20]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): 30-37 (2022) - [j19]Sihem Amer-Yahia, Yael Amsterdamer, Sourav S. Bhowmick, Angela Bonifati
Diversity and Inclusion Activities in Database Conferences: A 2021 Report. SIGMOD Rec. 51(2): 69-73 (2022) - [i15]Dong He, Supun Nakandala, Dalitso Banda, Rathijit Sen, Karla Saur, Kwanghyun Park
Query Processing on Tensor Computation Runtimes. CoRR abs/2203.01877 (2022) - [i14]Konstantinos Kanellis, Cong Ding, Brian Kroth, Andreas Müller, Carlo Curino, Shivaram Venkataraman:
LlamaTune: Sample-Efficient DBMS Configuration Tuning. CoRR abs/2203.05128 (2022) - [i13]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 abs/2210.14047 (2022) - [i12]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 abs/2211.02753 (2022) - 2021
- [c55]Alekh Jindal, K. Venkatesh Emani, Maureen Daum, Olga Poppe, Brandon Haynes, Anna Pavlenko, Ayushi Gupta, Karthik Ramachandra, Carlo Curino, Andreas Müller, Wentao Wu, Hiren Patel:
Magpie: Python at Speed and Scale using Cloud Backends. CIDR 2021 - [c54]Carlo Curino:
Workload-driven systems optimization: things are getting real! DEBS 2021: 1 - [c53]Yiwen Zhu
KEA: Tuning an Exabyte-Scale Data Infrastructure. SIGMOD Conference 2021: 2667-2680 - [e1]Carlo Curino, Georgia Koutrika, Ravi Netravali:
SoCC '21: ACM Symposium on Cloud Computing, Seattle, WA, USA, November 1 - 4, 2021. ACM 2021, ISBN 978-1-4503-8638-8 [contents] - [i11]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 abs/2106.11445 (2021) - 2020
- [j18]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): 154-162 (2020) - [c52]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 - [c51]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 - [c50]Joana M. F. da Trindade, Konstantinos Karanasos, Carlo Curino, Samuel Madden, Julian Shun:
Kaskade: Graph Views for Efficient Graph Analytics. ICDE 2020: 193-204 - [c49]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: 899-917 - [c48]Andrew Chung, Subru Krishnan, Konstantinos Karanasos, Carlo Curino, Gregory R. Ganger:
Unearthing inter-job dependencies for better cluster scheduling. OSDI 2020: 1205-1223 - [c47]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: 3:1-3:5 - [i10]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 abs/2006.02155 (2020) - [i9]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 abs/2009.12922 (2020) - [i8]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 abs/2010.04804 (2020)
2010 – 2019
- 2019
- [j17]Abhishek Roy, Alekh Jindal, Hiren Patel, Ashit Gosalia, Subru Krishnan, Carlo Curino:
SparkCruise: Handsfree Computation Reuse in Spark. Proc. VLDB Endow. 12(12): 1850-1853 (2019) - [c46]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: 441-452 - [c45]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: 177-192 - [c44]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: 1889-1892 - [i7]Joana M. F. da Trindade, Konstantinos Karanasos, Carlo Curino, Samuel Madden, Julian Shun:
Kaskade: Graph Views for Efficient Graph Analytics. CoRR abs/1906.05162 (2019) - [i6]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 abs/1908.09048 (2019) - [i5]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 abs/1909.00084 (2019) - [i4]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 abs/1911.00231 (2019) - [i3]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 abs/1912.09536 (2019) - 2017
- [j16]Ignacio Cano, Markus Weimer, Dhruv Mahajan, Carlo Curino, Giovanni Matteo Fumarola, Arvind Krishnamurthy:
Towards Geo-Distributed Machine Learning. IEEE Data Eng. Bull. 40(4): 41-59 (2017) - [j15]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): 5:1-5:31 (2017) - [c43]Ruslan Mavlyutov, Carlo Curino, Boris Asipov, Philippe Cudré-Mauroux:
Dependency-Driven Analytics: A Compass for Uncharted Data Oceans. CIDR 2017 - [c42]Moshe Babaioff, Yishay Mansour, Noam Nisan
ERA: A Framework for Economic Resource Allocation for the Cloud. WWW (Companion Volume) 2017: 635-642 - [i2]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 abs/1702.07311 (2017) - 2016
- [c41]Kaushik Rajan
PerfOrator: eloquent performance models for Resource Optimization. SoCC 2016: 415-427 - [c40]Sangeetha Abdu Jyothi
Morpheus: Towards Automated SLOs for Enterprise Clusters. OSDI 2016: 117-134 - [i1]Ignacio Cano, Markus Weimer, Dhruv Mahajan, Carlo Curino, Giovanni Matteo Fumarola:
Towards Geo-Distributed Machine Learning. CoRR abs/1603.09035 (2016) - 2015
- [c39]Ashish Vulimiri, Carlo Curino, Brighten Godfrey, Konstantinos Karanasos, George Varghese:
WANalytics: Analytics for a Geo-Distributed Data-Intensive World. CIDR 2015 - [c38]Chris Douglas, Carlo Curino:
Blind men and an elephant coalescing open-source, academic, and industrial perspectives on BigData. ICDE 2015: 1523-1526 - [c37]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: 323-336 - [c36]Dana Van Aken, Djellel Eddine Difallah
BenchPress: Dynamic Workload Control in the OLTP-Bench Testbed. SIGMOD Conference 2015: 1069-1073 - [c35]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: 1087-1092 - [c34]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: 1343-1355 - [c33]Bikas Saha, Hitesh Shah
Apache Tez: A Unifying Framework for Modeling and Building Data Processing Applications. SIGMOD Conference 2015: 1357-1369 - [c32]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 ATC 2015: 485-497 - 2014
- [c31]Carlo Curino, Djellel Eddine Difallah
Reservation-based Scheduling: If You're Late Don't Blame Us! SoCC 2014: 2:1-2:14 - [c30]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: 44-63 - 2013
- [j14]Ashraf Aboulnaga, Carlo Curino:
Second International Workshop on Data Management in the Cloud. IEEE Data Eng. Bull. 36(2): 2-4 (2013) - [j13]Kedar Bellare, Carlo Curino, Ashwin Machanavajjhala, Peter Mika, Mandar Rahurkar, Aamod Sane:
WOO: A Scalable and Multi-tenant Platform for Continuous Knowledge Base Synthesis. Proc. VLDB Endow. 6(11): 1114-1125 (2013) - [j12]Aaron J. Elmore
Towards Database Virtualization for Database as a Service. Proc. VLDB Endow. 6(11): 1194-1195 (2013) - [j11]Byung-Gon Chun, Tyson Condie, Carlo Curino, Raghu Ramakrishnan, Russell Sears, Markus Weimer:
REEF: Retainable Evaluator Execution Framework. Proc. VLDB Endow. 6(12): 1370-1373 (2013) - [j10]Djellel Eddine Difallah
OLTP-Bench: An Extensible Testbed for Benchmarking Relational Databases. Proc. VLDB Endow. 7(4): 277-288 (2013) - [j9]Carlo Curino, Hyun Jin Moon, Alin Deutsch, Carlo Zaniolo:
Automating the database schema evolution process. VLDB J. 22(1): 73-98 (2013) - [c29]Barzan Mozafari, Carlo Curino, Samuel Madden:
DBSeer: Resource and Performance Prediction for Building a Next Generation Database Cloud. CIDR 2013 - [c28]Vinod Kumar Vavilapalli, Arun C. Murthy, Chris Douglas, Sharad Agarwal, Mahadev Konar, Robert Evans, Thomas Graves, Jason Lowe, Hitesh Shah
Apache Hadoop YARN: yet another resource negotiator. SoCC 2013: 5:1-5:16 - [c27]Barzan Mozafari, Carlo Curino, Alekh Jindal, Samuel Madden:
Performance and resource modeling in highly-concurrent OLTP workloads. SIGMOD Conference 2013: 301-312 - 2012
- [c26]Carlo Curino, Djellel Eddine Difallah
Benchmarking OLTP/web databases in the cloud: the OLTP-bench framework. CloudDB@CIKM 2012: 17-20 - [c25]Aubrey Tatarowicz, Carlo Curino, Evan P. C. Jones, Sam Madden:
Lookup Tables: Fine-Grained Partitioning for Distributed Databases. ICDE 2012: 102-113 - [c24]James F. Terwilliger, Anthony Cleve, Carlo Curino:
How Clean Is Your Sandbox? - Towards a Unified Theoretical Framework for Incremental Bidirectional Transformations. ICMT@TOOLS 2012: 1-23 - [c23]Byung-Gon Chun, Carlo Curino, Russell Sears, Alexander Shraer, Samuel Madden, Raghu Ramakrishnan:
Mobius: unified messaging and data serving for mobile apps. MobiSys 2012: 141-154 - [c22]Andrew Pavlo
Skew-aware automatic database partitioning in shared-nothing, parallel OLTP systems. SIGMOD Conference 2012: 61-72 - 2011
- [c21]Eugene Wu, Carlo Curino, Samuel Madden:
No bits left behind. CIDR 2011: 187-190 - [c20]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: 235-240 - [c19]Carlo Curino, Evan P. C. Jones, Samuel Madden, Hari Balakrishnan:
Workload-aware database monitoring and consolidation. SIGMOD Conference 2011: 313-324 - 2010
- [b1]Carlo Curino:
Panta Rhei - Database Evolution and Integration from Practice to Vision: how advances in theory can be applied to real-world problems. LAP Lambert Academic Publishing 2010, ISBN 978-3-8383-3721-0, pp. 1-230 - [j8]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): 48-57 (2010) - [j7]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): 117-128 (2010) - [c18]Hyun Jin Moon, Carlo Curino, Carlo Zaniolo:
Scalable architecture and query optimization fortransaction-time DBs with evolving schemas. SIGMOD Conference 2010: 207-218
2000 – 2009
- 2009
- [j6]Cristiana Bolchini
And what can context do for data? Commun. ACM 52(11): 136-140 (2009) - [j5]Cristiana Bolchini
Context information for knowledge reshaping. Int. J. Web Eng. Technol. 5(1): 88-103 (2009) - [c17]Carlo Curino, Giorgio Orsi, Emanuele Panigati
Accessing and Documenting Relational Databases through OWL Ontologies. FQAS 2009: 431-442 - [c16]Carlo Curino, Hyun Jin Moon, Carlo Zaniolo:
Automating Database Schema Evolution in Information System Upgrades. HotSWUp 2009 - [c15]Carlo Curino, Hyun Jin Moon, MyungWon Ham, Carlo Zaniolo:
The PRISM Workwench: Database Schema Evolution without Tears. ICDE 2009: 1523-1526 - [c14]Hyun Jin Moon, Carlo Curino, MyungWon Ham, Carlo Zaniolo:
PRIMA: archiving and querying historical data with evolving schemas. SIGMOD Conference 2009: 1019-1022 - 2008
- [j4]Carlo Curino, Hyun Jin Moon, Carlo Zaniolo:
Graceful database schema evolution: the PRISM workbench. Proc. VLDB Endow. 1(1): 761-772 (2008) - [j3]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): 882-895 (2008) - [c13]Carlo Curino, Luca Fossati, Vincenzo Rana
The Shining embedded system design methodology based on self dynamic reconfigurable architectures. ASP-DAC 2008: 595-600 - [c12]Carlo Curino, Hyun Jin Moon, Carlo Zaniolo:
Managing the History of Metadata in Support for DB Archiving and Schema Evolution. ER Workshops 2008: 78-88 - [c11]Carlo Curino, Hyun Jin Moon, Letizia Tanca, Carlo Zaniolo:
Schema Evolution in Wikipedia - Toward a Web Information System Benchmark. ICEIS (1) 2008: 323-332 - [c10]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: 76-85 - 2007
- [j2]Cristiana Bolchini
A data-oriented survey of context models. SIGMOD Rec. 36(4): 19-26 (2007) - [c9]Carlo Curino, Giorgio Orsi, Letizia Tanca:
X-SOM: A Flexible Ontology Mapper. DEXA Workshops 2007: 424-428 - [c8]Cristiana Bolchini
CADD: A Tool for Context Modeling and Data Tailoring. MDM 2007: 221-223 - [c7]Carlo Curino, Giorgio Orsi, Letizia Tanca:
X-SOM Results for OAEI 2007. OM 2007 - 2006
- [c6]Carlo Curino, Elisa Quintarelli
Ontology-Based Information Tailoring. ICDE Workshops 2006: 5 - [c5]Cristiana Bolchini, Carlo Curino, Fabio Alberto Schreiber, Letizia Tanca:
Context Integration for Mobile Data Tailoring. MDM 2006: 5 - [c4]Cristiana Bolchini, Carlo Curino, Fabio Alberto Schreiber, Letizia Tanca:
Context integration for mobile data tailoring. SEBD 2006: 48-55 - 2005
- [j1]Carlo Curino, Matteo Giani, Marco Giorgetta, Alessandro Giusti
Mobile data collection in sensor networks: The TinyLime. Pervasive Mob. Comput. 1(4): 446-469 (2005) - [c3]Carlo Curino, Yuanyuan Jia, Bruce Lambert, Patricia M. West, Clement T. Yu:
Mining officially unrecognized side effects of drugs by combining web search and machine learning. CIKM 2005: 365-372 - [c2]Carlo Curino, Matteo Giani, Marco Giorgetta, Alessandro Giusti
TinyLIME: Bridging Mobile and Sensor Networks through Middleware. PerCom 2005: 61-72 - 2004
- [c1]Cristiana Bolchini, Carlo Curino, Marco Giorgetta, Alessandro Giusti, Antonio Miele, Fabio Alberto Schreiber, Letizia Tanca:
PoLiDBMS: Design and Prototype Implementation of a DBMS for Portable Devices. SEBD 2004: 166-177
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