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Andrew Pavlo
Andy Pavlo
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- affiliation: Carnegie Mellon University, Pittsburgh, PA, USA
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2020 – today
- 2024
- [j40]William Zhang, Wan Shen Lim, Matthew Butrovich, Andrew Pavlo:
The Holon Approach for Simultaneously Tuning Multiple Components in a Self-Driving Database Management System with Machine Learning via Synthesized Proto-Actions. Proc. VLDB Endow. 17(11): 3373-3387 (2024) - [j39]Wan Shen Lim, Lin Ma, William Zhang, Matthew Butrovich, Samuel Arch, Andrew Pavlo:
Hit the Gym: Accelerating Query Execution to Efficiently Bootstrap Behavior Models for Self-Driving Database Management Systems. Proc. VLDB Endow. 17(11): 3680-3693 (2024) - [j38]Michael Stonebraker, Andrew Pavlo:
What Goes Around Comes Around... And Around... SIGMOD Rec. 53(2): 21-37 (2024) - [c37]Kai Franz, Samuel Arch, Denis Hirn, Torsten Grust, Todd C. Mowry, Andrew Pavlo:
Dear User-Defined Functions, Inlining isn't working out so great for us. Let's try batching to make our relationship work. Sincerely, SQL. CIDR 2024 - [c36]Xinyu Zeng
, Ruijun Meng
NULLS!: Revisiting Null Representation in Modern Columnar Formats. DaMoN 2024: 10:1-10:10 - [i14]Tieying Zhang, Anthony Tomasic, Andrew Pavlo:
Intelligent Transaction Scheduling via Conflict Prediction in OLTP DBMS. CoRR abs/2409.01675 (2024) - 2023
- [j37]Matthew Butrovich, Karthik Ramanathan, John Rollinson, Wan Shen Lim, William Zhang, Justine Sherry, Andrew Pavlo
Tigger: A Database Proxy That Bounces With User-Bypass. Proc. VLDB Endow. 16(11): 3335-3348 (2023) - [j36]Xinyu Zeng, Yulong Hui, Jiahong Shen, Andrew Pavlo, Wes McKinney, Huanchen Zhang:
An Empirical Evaluation of Columnar Storage Formats. Proc. VLDB Endow. 17(2): 148-161 (2023) - [c35]Wan Shen Lim, Matthew Butrovich, William Zhang, Andrew Crotty, Lin Ma, Peijing Xu, Johannes Gehrke, Andrew Pavlo
Database Gyms. CIDR 2023 - [i13]Xinyu Zeng, Yulong Hui, Jiahong Shen, Andrew Pavlo, Wes McKinney, Huanchen Zhang:
An Empirical Evaluation of Columnar Storage Formats. CoRR abs/2304.05028 (2023) - 2022
- [j35]Daniel Abadi
The Seattle report on database research. Commun. ACM 65(8): 72-79 (2022) - [c34]Andrew Crotty, Viktor Leis, Andrew Pavlo:
Are You Sure You Want to Use MMAP in Your Database Management System? CIDR 2022 - [c33]Matthew Butrovich, Wan Shen Lim, Lin Ma, John Rollinson, William Zhang, Yu Xia, Andrew Pavlo
Tastes Great! Less Filling! High Performance and Accurate Training Data Collection for Self-Driving Database Management Systems. SIGMOD Conference 2022: 617-630 - [c32]Yu Xia, Xiangyao Yu, Matthew Butrovich, Andrew Pavlo
Litmus: Towards a Practical Database Management System with Verifiable ACID Properties and Transaction Correctness. SIGMOD Conference 2022: 1478-1492 - 2021
- [j34]Huanchen Zhang, Hyeontaek Lim, Viktor Leis, David G. Andersen, Michael Kaminsky, Kimberly Keeton, Andrew Pavlo
Succinct range filters. Commun. ACM 64(4): 166-173 (2021) - [j33]Dana Van Aken, Dongsheng Yang, Sebastien Brillard, Ari Fiorino, Bohan Zhang, Christian Billian, Andrew Pavlo
An Inquiry into Machine Learning-based Automatic Configuration Tuning Services on Real-World Database Management Systems. Proc. VLDB Endow. 14(7): 1241-1253 (2021) - [j32]Andy Pavlo
Make Your Database System Dream of Electric Sheep: Towards Self-Driving Operation. Proc. VLDB Endow. 14(12): 3211-3221 (2021) - [c31]Ling Zhang, Matthew Butrovich, Tianyu Li, Andrew Pavlo, Yash Nannapaneni, John Rollinson, Huanchen Zhang, Ambarish Balakumar, Daniel Biales, Ziqi Dong, Emmanuel J. Eppinger, Jordi E. Gonzalez, Wan Shen Lim, Jianqiao Liu, Lin Ma, Prashanth Menon, Soumil Mukherjee, Tanuj Nayak, Amadou Ngom, Dong Niu, Deepayan Patra, Poojita Raj, Stephanie Wang, Wuwen Wang, Yao Yu, William Zhang:
Everything is a Transaction: Unifying Logical Concurrency Control and Physical Data Structure Maintenance in Database Management Systems. CIDR 2021 - [c30]Amadou Ngom, Prashanth Menon, Matthew Butrovich, Lin Ma, Wan Shen Lim, Todd C. Mowry, Andrew Pavlo
Filter Representation in Vectorized Query Execution. DaMoN 2021: 6:1-6:7 - [c29]Lin Ma, William Zhang, Jie Jiao, Wuwen Wang, Matthew Butrovich, Wan Shen Lim, Prashanth Menon, Andrew Pavlo
MB2: Decomposed Behavior Modeling for Self-Driving Database Management Systems. SIGMOD Conference 2021: 1248-1261 - [c28]Xinjing Zhou, Joy Arulraj, Andrew Pavlo
Spitfire: A Three-Tier Buffer Manager for Volatile and Non-Volatile Memory. SIGMOD Conference 2021: 2195-2207 - 2020
- [j31]Prashanth Menon, Amadou Ngom, Todd C. Mowry, Andrew Pavlo
Permutable Compiled Queries: Dynamically Adapting Compiled Queries without Recompiling. Proc. VLDB Endow. 14(2): 101-113 (2020) - [j30]Yu Xia, Xiangyao Yu, Andrew Pavlo
Taurus: Lightweight Parallel Logging for In-Memory Database Management Systems. Proc. VLDB Endow. 14(2): 189-201 (2020) - [j29]Tianyu Li
Mainlining Databases: Supporting Fast Transactional Workloads on Universal Columnar Data File Formats. Proc. VLDB Endow. 14(4): 534-546 (2020) - [j28]Huanchen Zhang, Hyeontaek Lim, Viktor Leis, David G. Andersen, Michael Kaminsky, Kimberly Keeton, Andrew Pavlo
Succinct Range Filters. ACM Trans. Database Syst. 45(2): 5:1-5:31 (2020) - [c27]Huanchen Zhang, Xiaoxuan Liu, David G. Andersen, Michael Kaminsky, Kimberly Keeton, Andrew Pavlo
Order-Preserving Key Compression for In-Memory Search Trees. SIGMOD Conference 2020: 1601-1615 - [i12]Huanchen Zhang, Xiaoxuan Liu, David G. Andersen, Michael Kaminsky, Kimberly Keeton, Andrew Pavlo:
Order-Preserving Key Compression for In-Memory Search Trees. CoRR abs/2003.02391 (2020) - [i11]Rajat Kateja, Andy Pavlo, Gregory R. Ganger:
Vilamb: Low Overhead Asynchronous Redundancy for Direct Access NVM. CoRR abs/2004.09619 (2020) - [i10]Tianyu Li, Matthew Butrovich, Amadou Ngom, Wan Shen Lim, Wes McKinney, Andrew Pavlo:
Mainlining Databases: Supporting Fast Transactional Workloads on Universal Columnar Data File Formats. CoRR abs/2004.14471 (2020) - [i9]Yu Xia, Xiangyao Yu, Andrew Pavlo, Srinivas Devadas:
Taurus: Lightweight Parallel Logging for In-Memory Database Management Systems (Extended Version). CoRR abs/2010.06760 (2020)
2010 – 2019
- 2019
- [b2]Joy Arulraj, Andrew Pavlo:
Non-Volatile Memory Database Management Systems. Synthesis Lectures on Data Management, Morgan & Claypool Publishers 2019, ISBN 978-3-031-00740-8 - [j27]Andrew Pavlo, Matthew Butrovich, Ananya Joshi, Lin Ma, Prashanth Menon, Dana Van Aken, Lisa Lee, Ruslan Salakhutdinov:
External vs. Internal: An Essay on Machine Learning Agents for Autonomous Database Management Systems. IEEE Data Eng. Bull. 42(2): 32-46 (2019) - [j26]Yihan Sun
On Supporting Efficient Snapshot Isolation for Hybrid Workloads with Multi-Versioned Indexes. Proc. VLDB Endow. 13(2): 211-225 (2019) - [j25]Huanchen Zhang, Hyeontaek Lim, Viktor Leis, David G. Andersen, Kimberly Keeton, Andrew Pavlo
Succinct Range Filters. SIGMOD Rec. 48(1): 78-85 (2019) - [j24]Daniel Abadi
The Seattle Report on Database Research. SIGMOD Rec. 48(4): 44-53 (2019) - [c26]Yangjun Sheng, Anthony Tomasic, Tieying Zhang, Andrew Pavlo
Scheduling OLTP transactions via learned abort prediction. aiDM@SIGMOD 2019: 1:1-1:8 - [p1]Andy Pavlo:
In-memory, horizontal, and transactional: the H-store OLTP DBMS project. Making Databases Work 2019: 245-251 - [i8]Joy Arulraj, Ran Xian, Lin Ma, Andrew Pavlo:
Predictive Indexing. CoRR abs/1901.07064 (2019) - [i7]Joy Arulraj, Andy Pavlo, Krishna Teja Malladi:
Multi-Tier Buffer Management and Storage System Design for Non-Volatile Memory. CoRR abs/1901.10938 (2019) - [i6]Yangjun Sheng, Anthony Tomasic, Tieying Sheng, Andrew Pavlo:
Scheduling OLTP Transactions via Machine Learning. CoRR abs/1903.02990 (2019) - 2018
- [j23]Xiangyao Yu, Yu Xia, Andrew Pavlo
Sundial: Harmonizing Concurrency Control and Caching in a Distributed OLTP Database Management System. Proc. VLDB Endow. 11(10): 1289-1302 (2018) - [j22]Bohan Zhang, Dana Van Aken, Justin Wang, Tao Dai, Shuli Jiang, Jacky Lao, Siyuan Sheng, Andrew Pavlo
A Demonstration of the OtterTune Automatic Database Management System Tuning Service. Proc. VLDB Endow. 11(12): 1910-1913 (2018) - [j21]Timo Kersten, Viktor Leis, Alfons Kemper, Thomas Neumann, Andrew Pavlo, Peter A. Boncz:
Everything You Always Wanted to Know About Compiled and Vectorized Queries But Were Afraid to Ask. Proc. VLDB Endow. 11(13): 2209-2222 (2018) - [c25]Tieying Zhang, Anthony Tomasic, Yangjun Sheng, Andrew Pavlo:
Performance of OLTP via Intelligent Scheduling. ICDE 2018: 1288-1291 - [c24]Huanchen Zhang, Hyeontaek Lim, Viktor Leis, David G. Andersen, Michael Kaminsky, Kimberly Keeton
SuRF: Practical Range Query Filtering with Fast Succinct Tries. SIGMOD Conference 2018: 323-336 - [c23]Ziqi Wang
Building a Bw-Tree Takes More Than Just Buzz Words. SIGMOD Conference 2018: 473-488 - [c22]Lin Ma, Dana Van Aken, Ahmed Hefny, Gustavo Mezerhane, Andrew Pavlo
Query-based Workload Forecasting for Self-Driving Database Management Systems. SIGMOD Conference 2018: 631-645 - 2017
- [j20]Franz Faerber, Alfons Kemper, Per-Åke Larson, Justin J. Levandoski, Thomas Neumann
Main Memory Database Systems. Found. Trends Databases 8(1-2): 1-130 (2017) - [j19]Rachael Harding, Dana Van Aken, Andrew Pavlo
An Evaluation of Distributed Concurrency Control. Proc. VLDB Endow. 10(5): 553-564 (2017) - [j18]Yingjun Wu, Joy Arulraj, Jiexi Lin, Ran Xian, Andrew Pavlo
An Empirical Evaluation of In-Memory Multi-Version Concurrency Control. Proc. VLDB Endow. 10(7): 781-792 (2017) - [j17]Prashanth Menon, Andrew Pavlo
Relaxed Operator Fusion for In-Memory Databases: Making Compilation, Vectorization, and Prefetching Work Together At Last. Proc. VLDB Endow. 11(1): 1-13 (2017) - [c21]Andrew Pavlo, Gustavo Angulo, Joy Arulraj, Haibin Lin, Jiexi Lin, Lin Ma, Prashanth Menon, Todd C. Mowry, Matthew Perron, Ian Quah
Self-Driving Database Management Systems. CIDR 2017 - [c20]Andrew Pavlo
What Are We Doing With Our Lives?: Nobody Cares About Our Concurrency Control Research. SIGMOD Conference 2017: 3 - [c19]Dana Van Aken, Andrew Pavlo
Automatic Database Management System Tuning Through Large-scale Machine Learning. SIGMOD Conference 2017: 1009-1024 - [c18]Lianghong Xu, Andrew Pavlo
Online Deduplication for Databases. SIGMOD Conference 2017: 1355-1368 - [c17]Joy Arulraj, Andrew Pavlo
How to Build a Non-Volatile Memory Database Management System. SIGMOD Conference 2017: 1753-1758 - [e4]Spyros Blanas, Rajesh Bordawekar, Tirthankar Lahiri, Justin J. Levandoski, Andrew Pavlo:
Data Management on New Hardware - 7th International Workshop on Accelerating Data Analysis and Data Management Systems Using Modern Processor and Storage Architectures, ADMS 2016 and 4th International Workshop on In-Memory Data Management and Analytics, IMDM 2016, New Delhi, India, September 1, 2016, Revised Selected Papers. Lecture Notes in Computer Science 10195, Springer 2017, ISBN 978-3-319-56110-3 [contents] - 2016
- [j16]Peter Bailis, Joy Arulraj, Andrew Pavlo
Research for practice: distributed consensus and implications of NVM on database management systems. Commun. ACM 59(11): 52-55 (2016) - [j15]Joy Arulraj, Matthew Perron
Write-Behind Logging. Proc. VLDB Endow. 10(4): 337-348 (2016) - [j14]Marco Serafini, Rebecca Taft, Aaron J. Elmore
Clay: Fine-Grained Adaptive Partitioning for General Database Schemas. Proc. VLDB Endow. 10(4): 445-456 (2016) - [j13]Peter Bailis, Camille Fournier, Joy Arulraj, Andy Pavlo
Research for Practice: Distributed Consensus and Implications of NVM on Database Management Systems. ACM Queue 14(3): 40 (2016) - [j12]Andrew Pavlo
What's Really New with NewSQL? SIGMOD Rec. 45(2): 45-55 (2016) - [c16]Lin Ma, Joy Arulraj, Sam Zhao, Andrew Pavlo
Larger-than-memory data management on modern storage hardware for in-memory OLTP database systems. DaMoN 2016: 9:1-9:7 - [c15]Joy Arulraj, Andrew Pavlo
Bridging the Archipelago between Row-Stores and Column-Stores for Hybrid Workloads. SIGMOD Conference 2016: 583-598 - [c14]Huanchen Zhang, David G. Andersen, Andrew Pavlo
Reducing the Storage Overhead of Main-Memory OLTP Databases with Hybrid Indexes. SIGMOD Conference 2016: 1567-1581 - [c13]Xiangyao Yu, Andrew Pavlo
TicToc: Time Traveling Optimistic Concurrency Control. SIGMOD Conference 2016: 1629-1642 - [e3]Torsten Grust, Kamal Karlapalem, Andy Pavlo:
Proceedings of the VLDB 2016 PhD Workshop co-located with the 42nd International Conference on Very Large Databases (VLDB 2016), New Delhi, India, September 9, 2016. CEUR Workshop Proceedings 1671, CEUR-WS.org 2016 [contents] - 2015
- [j11]Andrew Pavlo:
Emerging Hardware Trends in Large-Scale Transaction Processing. IEEE Internet Comput. 19(3): 68-71 (2015) - [j10]John Meehan, Nesime Tatbul, Stan Zdonik, Cansu Aslantas, Ugur Çetintemel, Jiang Du, Tim Kraska, Samuel Madden, David Maier, Andrew Pavlo
S-Store: Streaming Meets Transaction Processing. Proc. VLDB Endow. 8(13): 2134-2145 (2015) - [c12]Lianghong Xu, Andrew Pavlo
Reducing replication bandwidth for distributed document databases. SoCC 2015: 222-235 - [c11]Aaron J. Elmore
Squall: Fine-Grained Live Reconfiguration for Partitioned Main Memory Databases. SIGMOD Conference 2015: 299-313 - [c10]Joy Arulraj, Andrew Pavlo
Let's Talk About Storage & Recovery Methods for Non-Volatile Memory Database Systems. SIGMOD Conference 2015: 707-722 - [c9]Dana Van Aken, Djellel Eddine Difallah
BenchPress: Dynamic Workload Control in the OLTP-Bench Testbed. SIGMOD Conference 2015: 1069-1073 - [e2]Arun Jagatheesan, Justin J. Levandoski, Thomas Neumann
In Memory Data Management and Analysis - First and Second International Workshops, IMDM 2013, Riva del Garda, Italy, August 26, 2013, IMDM 2014, Hongzhou, China, September 1, 2014, Revised Selected Papers. Lecture Notes in Computer Science 8921, Springer 2015, ISBN 978-3-319-13959-3 [contents] - [i5]John Meehan, Nesime Tatbul, Stanley B. Zdonik, Cansu Aslantas, Ugur Çetintemel, Jiang Du, Tim Kraska, Samuel Madden, David Maier, Andrew Pavlo, Michael Stonebraker, Kristin Tufte, Hao Wang:
S-Store: Streaming Meets Transaction Processing. CoRR abs/1503.01143 (2015) - 2014
- [b1]Andrew Pavlo:
On Scalable Transaction Execution in Partitioned Main Memory Database Management Systems. Brown University, USA, 2014 - [j9]Ugur Çetintemel, Jiang Du, Tim Kraska, Samuel Madden, David Maier, John Meehan, Andrew Pavlo
S-Store: A Streaming NewSQL System for Big Velocity Applications. Proc. VLDB Endow. 7(13): 1633-1636 (2014) - [j8]Xiangyao Yu, George Bezerra, Andrew Pavlo
Staring into the Abyss: An Evaluation of Concurrency Control with One Thousand Cores. Proc. VLDB Endow. 8(3): 209-220 (2014) - [j7]Rebecca Taft, Essam Mansour, Marco Serafini, Jennie Duggan
E-Store: Fine-Grained Elastic Partitioning for Distributed Transaction Processing. Proc. VLDB Endow. 8(3): 245-256 (2014) - [c8]Michael Stonebraker, Andrew Pavlo, Rebecca Taft, Michael L. Brodie:
Enterprise Database Applications and the Cloud: A Difficult Road Ahead. IC2E 2014: 1-6 - [c7]Justin A. DeBrabant, Joy Arulraj, Andrew Pavlo, Michael Stonebraker, Stanley B. Zdonik, Subramanya Dulloor:
A Prolegomenon on OLTP Database Systems for Non-Volatile Memory. ADMS@VLDB 2014: 57-63 - [e1]Justin J. Levandoski, Andrew Pavlo:
Proceedings of the 2nd International Workshop on In Memory Data Management and Analytics, IMDM 2014, Hangzhou, China, September 1, 2014. 2014 [contents] - 2013
- [j6]Justin A. DeBrabant, Andrew Pavlo
Anti-Caching: A New Approach to Database Management System Architecture. Proc. VLDB Endow. 6(14): 1942-1953 (2013) - [j5]Djellel Eddine Difallah
OLTP-Bench: An Extensible Testbed for Benchmarking Relational Databases. Proc. VLDB Endow. 7(4): 277-288 (2013) - 2012
- [j4]Michael Armbrust, Yingyi Bu, Aaron J. Elmore
14th International Workshop on High Performance Transaction Systems (HPTS). login Usenix Mag. 37(1) (2012) - [c6]Carlo Curino, Djellel Eddine Difallah
Benchmarking OLTP/web databases in the cloud: the OLTP-bench framework. CloudDB@CIKM 2012: 17-20 - [c5]Andrew Pavlo
Skew-aware automatic database partitioning in shared-nothing, parallel OLTP systems. SIGMOD Conference 2012: 61-72 - [i4]Xin Jia, Andrew Pavlo, Stanley B. Zdonik:
Tastes Great, Less Filling: Low-Impact OLAP MapReduce Queries on High-Performance OLTP Systems. Adv. Math. Commun. 1 (2012) - 2011
- [j3]Andrew Pavlo
On Predictive Modeling for Optimizing Transaction Execution in Parallel OLTP Systems. Proc. VLDB Endow. 5(2): 85-96 (2011) - [i3]Andrew Pavlo, Ning Shi:
Graffiti Networks: A Subversive, Internet-Scale File Sharing Model. CoRR abs/1101.0350 (2011) - [i2]Andrew Pavlo, Evan P. C. Jones, Stanley B. Zdonik:
On Predictive Modeling for Optimizing Transaction Execution in Parallel OLTP Systems. CoRR abs/1110.6647 (2011) - 2010
- [j2]Michael Stonebraker, Daniel J. Abadi
MapReduce and parallel DBMSs: friends or foes? Commun. ACM 53(1): 64-71 (2010)
2000 – 2009
- 2009
- [c4]Andrew Pavlo
A comparison of approaches to large-scale data analysis. SIGMOD Conference 2009: 165-178 - 2008
- [j1]Robert Kallman, Hideaki Kimura, Jonathan Natkins, Andrew Pavlo
H-store: a high-performance, distributed main memory transaction processing system. Proc. VLDB Endow. 1(2): 1496-1499 (2008) - 2006
- [c3]Christopher Homan, Andrew Pavlo, Jonathan Schull:
Smoother Transitions Between Breadth-First-Spanning-Tree-Based Drawings. GD 2006: 442-445 - [c2]Ewa Deelman, Miron Livny, Gaurang Mehta, Andrew Pavlo, Gurmeet Singh, Mei-Hui Su, Karan Vahi, R. Kent Wenger:
Pegasus and DAGMan From Concept to Execution: Mapping Scientific Workflows onto Today's Cyberinfrastructure. High Performance Computing Workshop 2006: 56-74 - [c1]Andrew Pavlo, Peter Couvares, Rebekah Gietzel, Anatoly Karp, Ian D. Alderman, Miron Livny, Charles Bacon:
The NMI Build & Test Laboratory: Continuous Integration Framework for Distributed Computing Software. LISA 2006: 263-273 - [i1]Andrew Pavlo, Christopher Homan, Jonathan Schull:
A parent-centered radial layout algorithm for interactive graph visualization and animation. CoRR abs/cs/0606007 (2006)
Coauthor Index
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