Database Scalability, Elasticity, and Autonomy in the Cloud - (Extended Abstract). - Divyakant Agrawal; Amr El Abbadi; Sudipto Das; Aaron J. Elmore (DASFAA (1), 2011)

Zephyr: live migration in shared nothing databases for elastic cloud platforms. - Aaron J. Elmore; Sudipto Das; Divyakant Agrawal; Amr El Abbadi (SIGMOD Conference, 2011)

The evolving landscape of data management in the cloud. - Divyakant Agrawal; Amr El Abbadi; Beng Chin Ooi; Sudipto Das; Aaron J. Elmore (Int. J. Comput. Sci. Eng., 2012)

InfoPuzzle: Exploring Group Decision Making in Mobile Peer-to-Peer Databases. - Aaron J. Elmore; Sudipto Das; Divyakant Agrawal; Amr El Abbadi (Proc. VLDB Endow., 2012)

Serializability, not Serial: Concurrency Control and Availability in Multi-Datacenter Datastores. - Stacy Patterson; Aaron J. Elmore; Faisal Nawab; Divyakant Agrawal; Amr El Abbadi (Proc. VLDB Endow., 2012)

14th International Workshop on High Performance Transaction Systems (HPTS). - Michael Armbrust; Yingyi Bu; Aaron J. Elmore; Rik Farrow; Eugenia Gabrielova; Hatem Mahmoud; Andy Pavlo; Stephen Revilak; Pinar Tözün (login Usenix Mag., 2012)

Characterizing tenant behavior for placement and crisis mitigation in multitenant DBMSs. - Aaron J. Elmore; Sudipto Das; Alexander Pucher; Divyakant Agrawal; Amr El Abbadi; Xifeng Yan (SIGMOD Conference, 2013)

Towards Database Virtualization for Database as a Service. - Aaron J. Elmore; Carlo Curino; Divyakant Agrawal; Amr El Abbadi (Proc. VLDB Endow., 2013)

E-Store: Fine-Grained Elastic Partitioning for Distributed Transaction Processing. - Rebecca Taft; Essam Mansour 001; Marco Serafini; Jennie Duggan; Aaron J. Elmore; Ashraf Aboulnaga; Andrew Pavlo; Michael Stonebraker (Proc. VLDB Endow., 2014)

DataHub: Collaborative Data Science & Dataset Version Management at Scale. - Anant P. Bhardwaj; Souvik Bhattacherjee; Amit Chavan; Amol Deshpande; Aaron J. Elmore; Samuel Madden 001; Aditya G. Parameswaran (CIDR, 2015)

Squall: Fine-Grained Live Reconfiguration for Partitioned Main Memory Databases. - Aaron J. Elmore; Vaibhav Arora; Rebecca Taft; Andrew Pavlo; Divyakant Agrawal; Amr El Abbadi (SIGMOD Conference, 2015)

Towards a Unified Query Language for Provenance and Versioning. - Amit Chavan; Silu Huang; Amol Deshpande; Aaron J. Elmore; Samuel Madden 001; Aditya G. Parameswaran (TaPP, 2015)

Collaborative Data Analytics with DataHub. - Anant P. Bhardwaj; Amol Deshpande; Aaron J. Elmore; David R. Karger; Sam Madden 001; Aditya G. Parameswaran; Harihar Subramanyam; Eugene Wu 002; Rebecca Zhang (Proc. VLDB Endow., 2015)

A Demonstration of the BigDAWG Polystore System. - Aaron J. Elmore; Jennie Duggan; Mike Stonebraker; Magdalena Balazinska; Ugur Çetintemel; Vijay Gadepally; Jeffrey Heer; Bill Howe; Jeremy Kepner; Tim Kraska; Samuel Madden 001; David Maier 001; et al. (Proc. VLDB Endow., 2015)

The BigDAWG Polystore System. - Jennie Duggan; Aaron J. Elmore; Michael Stonebraker; Magdalena Balazinska; Bill Howe; Jeremy Kepner; Sam Madden 001; David Maier 001; Tim Mattson; Stanley B. Zdonik (SIGMOD Rec., 2015)

STeP: Scalable Tenant Placement for Managing Database-as-a-Service Deployments. - Rebecca Taft; Willis Lang; Jennie Duggan; Aaron J. Elmore; Michael Stonebraker; David J. DeWitt (SoCC, 2016)

Data transformation and migration in polystores. - Adam Dziedzic; Aaron J. Elmore; Michael Stonebraker (HPEC, 2016)

The BigDAWG polystore system and architecture. - Vijay Gadepally; Peinan Chen; Jennie Duggan; Aaron J. Elmore; Brandon Haynes; Jeremy Kepner; Samuel Madden 001; Tim Mattson; Michael Stonebraker (HPEC, 2016)

Integrating real-time and batch processing in a polystore. - John Meehan; Stan Zdonik; Shaobo Tian; Yulong Tian; Nesime Tatbul; Adam Dziedzic; Aaron J. Elmore (HPEC, 2016)

The BigDAWG Architecture. - Vijay Gadepally; Jennie Duggan; Aaron J. Elmore; Jeremy Kepner; Samuel Madden 001; Tim Mattson; Michael Stonebraker (CoRR, 2016)

Decibel: The Relational Dataset Branching System. - Michael Maddox; David Goehring; Aaron J. Elmore; Samuel Madden 001; Aditya G. Parameswaran; Amol Deshpande (Proc. VLDB Endow., 2016)

Clay: Fine-Grained Adaptive Partitioning for General Database Schemas. - Marco Serafini; Rebecca Taft; Aaron J. Elmore; Andrew Pavlo; Ashraf Aboulnaga; Michael Stonebraker (Proc. VLDB Endow., 2016)

Adaptive Concurrency Control: Despite the Looking Glass, One Concurrency Control Does Not Fit All. - Dixin Tang; Hao Jiang 021; Aaron J. Elmore (CIDR, 2017)

A robust partitioning scheme for ad-hoc query workloads. - Anil Shanbhag; Alekh Jindal; Samuel Madden 001; Jorge-Arnulfo Quiané-Ruiz; Aaron J. Elmore (SoCC, 2017)

BigDAWG version 0.1. - Vijay Gadepally; Kyle O'Brien; Adam Dziedzic; Aaron J. Elmore; Jeremy Kepner; Samuel Madden 001; Tim Mattson; Jennie Rogers; Zuohao She; Michael Stonebraker (HPEC, 2017)

UDP: a programmable accelerator for extract-transform-load workloads and more. - Yuanwei Fang; Chen Zou 001; Aaron J. Elmore; Andrew A. Chien (MICRO, 2017)

OrpheusDB: A Lightweight Approach to Relational Dataset Versioning. - Liqi Xu; Silu Huang; SiLi Hui; Aaron J. Elmore; Aditya G. Parameswaran (SIGMOD Conference, 2017)

Version 0.1 of the BigDAWG Polystore System. - Vijay Gadepally; Kyle O'Brien; Adam Dziedzic; Aaron J. Elmore; Jeremy Kepner; Samuel Madden 001; Tim Mattson; Jennie Rogers; Zuohao She; Michael Stonebraker (CoRR, 2017)

BigDAWG Polystore Release and Demonstration. - Kyle O'Brien; Vijay Gadepally; Jennie Duggan; Adam Dziedzic; Aaron J. Elmore; Jeremy Kepner; Samuel Madden 001; Tim Mattson; Zuohao She; Michael Stonebraker (CoRR, 2017)

OrpheusDB: Bolt-on Versioning for Relational Databases. - Silu Huang; Liqi Xu; Jialin Liu; Aaron J. Elmore; Aditya G. Parameswaran (Proc. VLDB Endow., 2017)

Boosting data filtering on columnar encoding with SIMD. - Hao Jiang 021; Aaron J. Elmore (DaMoN, 2018)

Draining the Data Swamp: A Similarity-based Approach. - Will Brackenbury; Rui Liu 002; Mainack Mondal; Aaron J. Elmore; Blase Ur; Kyle Chard; Michael J. Franklin (HILDA@SIGMOD, 2018)

RushMon: Real-time Isolation Anomalies Monitoring. - Zechao Shang; Jeffrey Xu Yu; Aaron J. Elmore (SIGMOD Conference, 2018)

DataDiff: User-Interpretable Data Transformation Summaries for Collaborative Data Analysis. - Günce Su Yilmaz; Tana Wattanawaroon; Liqi Xu; Abhishek Nigam; Aaron J. Elmore; Aditya G. Parameswaran (SIGMOD Conference, 2018)

Toward Coordination-free and Reconfigurable Mixed Concurrency Control. - Dixin Tang; Aaron J. Elmore (USENIX ATC, 2018)

Measuring Swampiness: Quantifying Chaos in Large Heterogeneous Data Repositories. - Luann Jung; Brendan Whitaker; Kyle Chard; Aaron J. Elmore (CoRR, 2018)

CYADB: A Database that Covers Your Ask. - Zechao Shang; Will Brackenbury; Aaron J. Elmore; Michael J. Franklin (Proc. VLDB Endow., 2018)

Data Migration Management. - Aaron J. Elmore (Encyclopedia of Database Systems (2nd ed.), 2018)

Elasticity. - Aaron J. Elmore (Encyclopedia of Database Systems (2nd ed.), 2018)

Multitenancy. - Aaron J. Elmore (Encyclopedia of Database Systems (2nd ed.), 2018)

The BigDAWG polystore system. - Tim Mattson; Jennie Rogers; Aaron J. Elmore (Making Databases Work, 2019)

DeepLens: Towards a Visual Data Management System. - Sanjay Krishnan; Adam Dziedzic; Aaron J. Elmore (CIDR, 2019)

Mostly Order Preserving Dictionaries. - Chunwei Liu; McKade Umbenhower; Hao Jiang 021; Pranav Subramaniam; Jihong Ma; Aaron J. Elmore (ICDE, 2019)

Band-limited Training and Inference for Convolutional Neural Networks. - Adam Dziedzic; John Paparrizos; Sanjay Krishnan; Aaron J. Elmore; Michael J. Franklin (ICML, 2019)

Opportunistic View Materialization with Deep Reinforcement Learning. - Xi Liang 002; Aaron J. Elmore; Sanjay Krishnan (CoRR, 2019)

MgCrab: Transaction Crabbing for Live Migration in Deterministic Database Systems. - Yu-Shan Lin; Shao-Kan Pi; Meng-Kai Liao; Ching Tsai; Aaron J. Elmore; Shan-Hung Wu (Proc. VLDB Endow., 2019)

Intermittent Query Processing. - Dixin Tang; Zechao Shang; Aaron J. Elmore; Sanjay Krishnan; Michael J. Franklin (Proc. VLDB Endow., 2019)

Artificial Intelligence in Resource-Constrained and Shared Environments. - Sanjay Krishnan; Aaron J. Elmore; Michael J. Franklin; John Paparrizos; Zechao Shang; Adam Dziedzic; Rui Liu 002 (ACM SIGOPS Oper. Syst. Rev., 2019)

CrocodileDB: Efficient Database Execution through Intelligent Deferment. - Zechao Shang; Xi Liang 002; Dixin Tang; Cong Ding 002; Aaron J. Elmore; Sanjay Krishnan; Michael J. Franklin (CIDR, 2020)

Fast and Reliable Missing Data Contingency Analysis with Predicate-Constraints. - Xi Liang 002; Zechao Shang; Sanjay Krishnan; Aaron J. Elmore; Michael J. Franklin (SIGMOD Conference, 2020)

Debunking Four Long-Standing Misconceptions of Time-Series Distance Measures. - John Paparrizos; Chunwei Liu; Aaron J. Elmore; Michael J. Franklin (SIGMOD Conference, 2020)

Thrifty Query Execution via Incrementability. - Dixin Tang; Zechao Shang; Aaron J. Elmore; Sanjay Krishnan; Michael J. Franklin (SIGMOD Conference, 2020)

The Data Station: Combining Data, Compute, and Market Forces. - Raul Castro Fernandez; Kyle Chard; Ben Blaiszik; Sanjay Krishnan; Aaron J. Elmore; Ziad Obermeyer; Josh Risley; Sendhil Mullainathan; Michael J. Franklin; Ian T. Foster (CoRR, 2020)

PIDS: Attribute Decomposition for Improved Compression and Query Performance in Columnar Storage. - Hao Jiang 021; Chunwei Liu; Qi Jin; John Paparrizos; Aaron J. Elmore (Proc. VLDB Endow., 2020)

CrocodileDB in Action: Resource-Efficient Query Execution by Exploiting Time Slackness. - Dixin Tang; Zechao Shang; Aaron J. Elmore; Sanjay Krishnan; Michael J. Franklin (Proc. VLDB Endow., 2020)

$ varvec{ textsc {Orpheus}}$DB: bolt-on versioning for relational databases (extended version). - Silu Huang; Liqi Xu; Jialin Liu; Aaron J. Elmore; Aditya G. Parameswaran (VLDB J., 2020)

VergeDB: A Database for IoT Analytics on Edge Devices. - John Paparrizos; Chunwei Liu; Bruno Barbarioli; Johnny Hwang; Ikraduya Edian; Aaron J. Elmore; Michael J. Franklin; Sanjay Krishnan (CIDR, 2021)

Version Reconciliation for Collaborative Databases. - Nalin Ranjan; Zechao Shang; Sanjay Krishnan; Aaron J. Elmore (SoCC, 2021)

CIAO: An Optimization Framework for Client-Assisted Data Loading. - Cong Ding 002; Dixin Tang; Xi Liang 002; Aaron J. Elmore; Sanjay Krishnan (ICDE, 2021)

Files of a Feather Flock Together? Measuring and Modeling How Users Perceive File Similarity in Cloud Storage. - Will Brackenbury; Galen Harrison; Kyle Chard; Aaron J. Elmore; Blase Ur (SIGIR, 2021)

Understanding and optimizing packed neural network training for hyper-parameter tuning. - Rui Liu 002; Sanjay Krishnan; Aaron J. Elmore; Michael J. Franklin (DEEM@SIGMOD, 2021)

Good to the Last Bit: Data-Driven Encoding with CodecDB. - Hao Jiang 021; Chunwei Liu; John Paparrizos; Andrew A. Chien; Jihong Ma; Aaron J. Elmore (SIGMOD Conference, 2021)

Resource-efficient Shared Query Execution via Exploiting Time Slackness. - Dixin Tang; Zechao Shang; William W. Ma; Aaron J. Elmore; Sanjay Krishnan (SIGMOD Conference, 2021)

KondoCloud: Improving Information Management in Cloud Storage via Recommendations Based on File Similarity. - Will Brackenbury; Andrew M. McNutt; Kyle Chard; Aaron J. Elmore; Blase Ur (UIST, 2021)

Decomposed Bounded Floats for Fast Compression and Queries. - Chunwei Liu; Hao Jiang 021; John Paparrizos; Aaron J. Elmore (Proc. VLDB Endow., 2021)

A Demonstration of Relic: A System for REtrospective Lineage InferenCe of Data Workflows. - Mohammed Suhail Rehman; Silu Huang; Aaron J. Elmore (Proc. VLDB Endow., 2021)

FuzzyData: A Scalable Workload Generator for Testing Dataframe Workflow Systems. - Mohammed Suhail Rehman; Aaron J. Elmore (DBTest@SIGMOD, 2022)

Fast Adaptive Similarity Search through Variance-Aware Quantization. - John Paparrizos; Ikraduya Edian; Chunwei Liu; Aaron J. Elmore; Michael J. Franklin (ICDE, 2022)

Summarizing Sets of Related ML-Driven Recommendations for Improving File Management in Cloud Storage. - Will Brackenbury; Kyle Chard; Aaron J. Elmore; Blase Ur (UIST, 2022)

Theseus: Navigating the Labyrinth of Time-Series Anomaly Detection. - Paul Boniol; John Paparrizos; Yuhao Kang; Themis Palpanas; Ruey S. Tsay; Aaron J. Elmore; Michael J. Franklin (Proc. VLDB Endow., 2022)

Volume Under the Surface: A New Accuracy Evaluation Measure for Time-Series Anomaly Detection. - John Paparrizos; Paul Boniol; Themis Palpanas; Ruey S. Tsay; Aaron J. Elmore; Michael J. Franklin (Proc. VLDB Endow., 2022)

Data Station: Delegated, Trustworthy, and Auditable Computation to Enable Data-Sharing Consortia with a Data Escrow. - Siyuan Xia; Zhiru Zhu; Chris Zhu; Jinjin Zhao; Kyle Chard; Aaron J. Elmore; Ian T. Foster; Michael J. Franklin; Sanjay Krishnan; Raul Castro Fernandez (Proc. VLDB Endow., 2022)

Rotary: A Resource Arbitration Framework for Progressive Iterative Analytics. - Rui Liu 002; Aaron J. Elmore; Michael J. Franklin; Sanjay Krishnan (ICDE, 2023)

Querying Time-Series Data: A Comprehensive Comparison of Distance Measures. - John Paparrizos; Chunwei Liu; Aaron J. Elmore; Michael J. Franklin (IEEE Data Eng. Bull., 2023)

How Large Language Models Will Disrupt Data Management. - Raul Castro Fernandez; Aaron J. Elmore; Michael J. Franklin; Sanjay Krishnan; Chenhao Tan (Proc. VLDB Endow., 2023)

Front Matter. - Georgia Koutrika; Jun Yang 001; Manos Athanassoulis; Kostas Stefanidis; Ju Fan; Abdul Quamar; Yuanyan Tian; Alekh Jindal; Carsten Binnig; Jennie Rogers; Senjuti Basu Roy; Steven Euijong Whang; et al. (Proc. VLDB Endow., 2023)

Accelerating Similarity Search for Elastic Measures: A Study and New Generalization of Lower Bounding Distances. - John Paparrizos; Kaize Wu; Aaron J. Elmore; Christos Faloutsos; Michael J. Franklin (Proc. VLDB Endow., 2023)

Towards Resource-adaptive Query Execution in Cloud Native Databases. - Rui Liu 002; Jun Hyuk Chang; Riki Otaki; Zhe Heng Eng; Aaron J. Elmore; Michael J. Franklin; Sanjay Krishnan (CIDR, 2024)

Riveter: Adaptive Query Suspension and Resumption Framework for Cloud Native Databases. - Rui Liu 002; Aaron J. Elmore; Michael J. Franklin; Sanjay Krishnan (ICDE, 2024)

AdaEdge: A Dynamic Compression Selection Framework for Resource Constrained Devices. - Chunwei Liu; John Paparrizos; Aaron J. Elmore (ICDE, 2024)

Not-So-Bitter Pill to Swallow: Slipstreaming Memory Safe Programming via Rust as part of a Database Systems Course. - Mohammed Suhail Rehman; Aaron J. Elmore; Raul Castro Fernandez (DataEd@SIGMOD, 2025)

VUS: Effective and Efficient Accuracy Measures for Time-Series Anomaly Detection. - Paul Boniol; Ashwin K. Krishna; Marine Bruel; Qinghua Liu; Mingyi Huang; Themis Palpanas; Ruey S. Tsay; Aaron J. Elmore; Michael J. Franklin; John Paparrizos (CoRR, 2025)