Aaron J. Elmore

According to our database, Aaron J. Elmore authored at least 78 papers between 2011 and 2024.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2024

Towards Resource-adaptive Query Execution in Cloud Native Databases.

Rui Liu, Jun Hyuk Chang, Riki Otaki, Zhe Heng Eng, Aaron J. Elmore, Michael J. Franklin, Sanjay Krishnan

Proceedings of the 14th Conference on Innovative Data Systems Research, 2024

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

Front Matter.

Georgia Koutrika, Jun Yang, Manos Athanassoulis, Kostas Stefanidis, Ju Fan, Abdul Quamar, Yuanyan Tian, Alekh Jindal, Carsten Binnig, Jennie Rogers, Senjuti Basu Roy, Steven Euijong Whang, Matthias Boehm, Aaron J. Elmore, Vasilis Efthymiou, Xiao Hu, Xiaofang Zhou, Alan D. Fekete

Proc. VLDB Endow., 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

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

Rotary: A Resource Arbitration Framework for Progressive Iterative Analytics.

Rui Liu, Aaron J. Elmore, Michael J. Franklin, Sanjay Krishnan

Proceedings of the 39th IEEE International Conference on Data Engineering, 2023

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

Volume Under the Surface: A New Accuracy Evaluation Measure for Time-Series Anomaly Detection.

John Paparrizos, Paul Boniol, Themis Palpanas, Ruey Tsay, Aaron J. Elmore, Michael J. Franklin

Proc. VLDB Endow., 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

Summarizing Sets of Related ML-Driven Recommendations for Improving File Management in Cloud Storage.

Will Brackenbury, Kyle Chard, Aaron J. Elmore, Blase Ur

Proceedings of the 35th Annual ACM Symposium on User Interface Software and Technology, 2022

Fast Adaptive Similarity Search through Variance-Aware Quantization.

John Paparrizos, Ikraduya Edian, Chunwei Liu, Aaron J. Elmore, Michael J. Franklin

Proceedings of the 38th IEEE International Conference on Data Engineering, 2022

FuzzyData: A Scalable Workload Generator for Testing Dataframe Workflow Systems.

Mohammed Suhail Rehman, Aaron J. Elmore

Proceedings of the DBTest@SIGMOD '22: Proceedings of the 9th International Workshop of Testing Database Systems, 2022

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

Decomposed Bounded Floats for Fast Compression and Queries.

Chunwei Liu, Hao Jiang, John Paparrizos, Aaron J. Elmore

Proc. VLDB Endow., 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

Proceedings of the UIST '21: The 34th Annual ACM Symposium on User Interface Software and Technology, 2021

Resource-efficient Shared Query Execution via Exploiting Time Slackness.

Dixin Tang, Zechao Shang, William W. Ma, Aaron J. Elmore, Sanjay Krishnan

Proceedings of the SIGMOD '21: International Conference on Management of Data, 2021

Good to the Last Bit: Data-Driven Encoding with CodecDB.

Hao Jiang, Chunwei Liu, John Paparrizos, Andrew A. Chien, Jihong Ma, Aaron J. Elmore

Proceedings of the SIGMOD '21: International Conference on Management of Data, 2021

Understanding and optimizing packed neural network training for hyper-parameter tuning.

Rui Liu, Sanjay Krishnan, Aaron J. Elmore, Michael J. Franklin

Proceedings of the Fifth Workshop on Data Management for End-To-End Machine Learning, 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

Proceedings of the SIGIR '21: The 44th International ACM SIGIR Conference on Research and Development in Information Retrieval, 2021

CIAO: An Optimization Framework for Client-Assisted Data Loading.

Cong Ding, Dixin Tang, Xi Liang, Aaron J. Elmore, Sanjay Krishnan

Proceedings of the 37th IEEE International Conference on Data Engineering, 2021

Version Reconciliation for Collaborative Databases.

Nalin Ranjan, Zechao Shang, Sanjay Krishnan, Aaron J. Elmore

Proceedings of the SoCC '21: ACM Symposium on Cloud Computing, 2021

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

Proceedings of the 11th Conference on Innovative Data Systems Research, 2021

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

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

PIDS: Attribute Decomposition for Improved Compression and Query Performance in Columnar Storage.

Hao Jiang, Chunwei Liu, Qi Jin, John Paparrizos, Aaron J. Elmore

Proc. VLDB Endow., 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

Thrifty Query Execution via Incrementability.

Dixin Tang, Zechao Shang, Aaron J. Elmore, Sanjay Krishnan, Michael J. Franklin

Proceedings of the 2020 International Conference on Management of Data, 2020

Debunking Four Long-Standing Misconceptions of Time-Series Distance Measures.

John Paparrizos, Chunwei Liu, Aaron J. Elmore, Michael J. Franklin

Proceedings of the 2020 International Conference on Management of Data, 2020

Fast and Reliable Missing Data Contingency Analysis with Predicate-Constraints.

Xi Liang, Zechao Shang, Sanjay Krishnan, Aaron J. Elmore, Michael J. Franklin

Proceedings of the 2020 International Conference on Management of Data, 2020

CrocodileDB: Efficient Database Execution through Intelligent Deferment.

Zechao Shang, Xi Liang, Dixin Tang, Cong Ding, Aaron J. Elmore, Sanjay Krishnan, Michael J. Franklin

Proceedings of the 10th Conference on Innovative Data Systems Research, 2020

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

ACM SIGOPS Oper. Syst. Rev., 2019

Intermittent Query Processing.

Dixin Tang, Zechao Shang, Aaron J. Elmore, Sanjay Krishnan, Michael J. Franklin

Proc. VLDB Endow., 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

Opportunistic View Materialization with Deep Reinforcement Learning.

Xi Liang, Aaron J. Elmore, Sanjay Krishnan

CoRR, 2019

Band-limited Training and Inference for Convolutional Neural Networks.

Adam Dziedzic, John Paparrizos, Sanjay Krishnan, Aaron J. Elmore, Michael J. Franklin

Proceedings of the 36th International Conference on Machine Learning, 2019

Mostly Order Preserving Dictionaries.

Chunwei Liu, McKade Umbenhower, Hao Jiang, Pranav Subramaniam, Jihong Ma, Aaron J. Elmore

Proceedings of the 35th IEEE International Conference on Data Engineering, 2019

DeepLens: Towards a Visual Data Management System.

Sanjay Krishnan, Adam Dziedzic, Aaron J. Elmore

Proceedings of the 9th Biennial Conference on Innovative Data Systems Research, 2019

The BigDAWG polystore system.

Tim Mattson, Jennie Rogers, Aaron J. Elmore

Proceedings of the Making Databases Work: the Pragmatic Wisdom of Michael Stonebraker, 2019

2018

Multitenancy.

Aaron J. Elmore

Proceedings of the Encyclopedia of Database Systems, Second Edition, 2018

Elasticity.

Aaron J. Elmore

Proceedings of the Encyclopedia of Database Systems, Second Edition, 2018

Data Migration Management.

Aaron J. Elmore

Proceedings of the Encyclopedia of Database Systems, Second Edition, 2018

CYADB: A Database that Covers Your Ask.

Zechao Shang, Will Brackenbury, Aaron J. Elmore, Michael J. Franklin

Proc. VLDB Endow., 2018

Measuring Swampiness: Quantifying Chaos in Large Heterogeneous Data Repositories.

Luann Jung, Brendan Whitaker, Kyle Chard, Aaron J. Elmore

CoRR, 2018

Toward Coordination-free and Reconfigurable Mixed Concurrency Control.

Dixin Tang, Aaron J. Elmore

Proceedings of the 2018 USENIX Annual Technical 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

Proceedings of the 2018 International Conference on Management of Data, 2018

RushMon: Real-time Isolation Anomalies Monitoring.

Zechao Shang, Jeffrey Xu Yu, Aaron J. Elmore

Proceedings of the 2018 International Conference on Management of Data, 2018

Draining the Data Swamp: A Similarity-based Approach.

Will Brackenbury, Rui Liu, Mainack Mondal, Aaron J. Elmore, Blase Ur, Kyle Chard, Michael J. Franklin

Proceedings of the Workshop on Human-In-the-Loop Data Analytics, 2018

Boosting data filtering on columnar encoding with SIMD.

Hao Jiang, Aaron J. Elmore

Proceedings of the 14th International Workshop on Data Management on New Hardware, 2018

2017

OrpheusDB: Bolt-on Versioning for Relational Databases.

Silu Huang, Liqi Xu, Jialin Liu, Aaron J. Elmore, Aditya G. Parameswaran

Proc. VLDB Endow., 2017

BigDAWG Polystore Release and Demonstration.

Kyle O'Brien, Vijay Gadepally, Jennie Duggan, Adam Dziedzic, Aaron J. Elmore, Jeremy Kepner, Samuel Madden, Tim Mattson, Zuohao She, Michael Stonebraker

CoRR, 2017

Version 0.1 of the BigDAWG Polystore System.

Vijay Gadepally, Kyle O'Brien, Adam Dziedzic, Aaron J. Elmore, Jeremy Kepner, Samuel Madden, Tim Mattson, Jennie Rogers, Zuohao She, Michael Stonebraker

CoRR, 2017

OrpheusDB: A Lightweight Approach to Relational Dataset Versioning.

Liqi Xu, Silu Huang, SiLi Hui, Aaron J. Elmore, Aditya G. Parameswaran

Proceedings of the 2017 ACM International Conference on Management of Data, 2017

UDP: a programmable accelerator for extract-transform-load workloads and more.

Yuanwei Fang, Chen Zou, Aaron J. Elmore, Andrew A. Chien

Proceedings of the 50th Annual IEEE/ACM International Symposium on Microarchitecture, 2017

BigDAWG version 0.1.

Vijay Gadepally, Kyle O'Brien, Adam Dziedzic, Aaron J. Elmore, Jeremy Kepner, Samuel Madden, Tim Mattson, Jennie Rogers, Zuohao She, Michael Stonebraker

Proceedings of the 2017 IEEE High Performance Extreme Computing Conference, 2017

A robust partitioning scheme for ad-hoc query workloads.

Anil Shanbhag, Alekh Jindal, Samuel Madden, Jorge-Arnulfo Quiané-Ruiz, Aaron J. Elmore

Proceedings of the 2017 Symposium on Cloud Computing, SoCC 2017, Santa Clara, CA, USA, 2017

Adaptive Concurrency Control: Despite the Looking Glass, One Concurrency Control Does Not Fit All.

Dixin Tang, Hao Jiang, Aaron J. Elmore

Proceedings of the 8th Biennial Conference on Innovative Data Systems Research, 2017

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

Decibel: The Relational Dataset Branching System.

Michael Maddox, David Goehring, Aaron J. Elmore, Samuel Madden, Aditya G. Parameswaran, Amol Deshpande

Proc. VLDB Endow., 2016

The BigDAWG Architecture.

Vijay Gadepally, Jennie Duggan, Aaron J. Elmore, Jeremy Kepner, Samuel Madden, Tim Mattson, Michael Stonebraker

CoRR, 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

Proceedings of the 2016 IEEE High Performance Extreme Computing Conference, 2016

The BigDAWG polystore system and architecture.

Vijay Gadepally, Peinan Chen, Jennie Duggan, Aaron J. Elmore, Brandon Haynes, Jeremy Kepner, Samuel Madden, Tim Mattson, Michael Stonebraker

Proceedings of the 2016 IEEE High Performance Extreme Computing Conference, 2016

Data transformation and migration in polystores.

Adam Dziedzic, Aaron J. Elmore, Michael Stonebraker

Proceedings of the 2016 IEEE High Performance Extreme Computing Conference, 2016

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

Proceedings of the Seventh ACM Symposium on Cloud Computing, 2016

2015

The BigDAWG Polystore System.

Jennie Duggan, Aaron J. Elmore, Michael Stonebraker, Magdalena Balazinska, Bill Howe, Jeremy Kepner, Sam Madden, David Maier, Tim Mattson, Stanley B. Zdonik

SIGMOD Rec., 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, David Maier, Timothy G. Mattson, Stavros Papadopoulos, Jeff Parkhurst, Nesime Tatbul, Manasi Vartak, Stan Zdonik

Proc. VLDB Endow., 2015

Collaborative Data Analytics with DataHub.

Anant P. Bhardwaj, Amol Deshpande, Aaron J. Elmore, David R. Karger, Sam Madden, Aditya G. Parameswaran, Harihar Subramanyam, Eugene Wu, Rebecca Zhang

Proc. VLDB Endow., 2015

Towards a Unified Query Language for Provenance and Versioning.

Amit Chavan, Silu Huang, Amol Deshpande, Aaron J. Elmore, Samuel Madden, Aditya G. Parameswaran

Proceedings of the 7th USENIX Workshop on the Theory and Practice of Provenance, 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

Proceedings of the 2015 ACM SIGMOD International Conference on Management of Data, Melbourne, Victoria, Australia, May 31, 2015

DataHub: Collaborative Data Science & Dataset Version Management at Scale.

Anant P. Bhardwaj, Souvik Bhattacherjee, Amit Chavan, Amol Deshpande, Aaron J. Elmore, Samuel Madden, Aditya G. Parameswaran

Proceedings of the Seventh Biennial Conference on Innovative Data Systems Research, 2015

2014

E-Store: Fine-Grained Elastic Partitioning for Distributed Transaction Processing.

Rebecca Taft, Essam Mansour, Marco Serafini, Jennie Duggan, Aaron J. Elmore, Ashraf Aboulnaga, Andrew Pavlo, Michael Stonebraker

Proc. VLDB Endow., 2014

2013

Towards Database Virtualization for Database as a Service.

Aaron J. Elmore, Carlo Curino, Divyakant Agrawal, Amr El Abbadi

Proc. VLDB Endow., 2013

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

Proceedings of the ACM SIGMOD International Conference on Management of Data, 2013

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

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

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

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

2011

Zephyr: live migration in shared nothing databases for elastic cloud platforms.

Aaron J. Elmore, Sudipto Das, Divyakant Agrawal, Amr El Abbadi

Proceedings of the ACM SIGMOD International Conference on Management of Data, 2011

Database Scalability, Elasticity, and Autonomy in the Cloud - (Extended Abstract).

Divyakant Agrawal, Amr El Abbadi, Sudipto Das, Aaron J. Elmore

Proceedings of the Database Systems for Advanced Applications, 2011