Search Results - "Elmore, Aaron J."

ORPHEUSDB: bolt-on versioning for relational databases (extended version) by Huang, Silu, Xu, Liqi, Liu, Jialin, Elmore, Aaron J., Parameswaran, Aditya

“…Data science teams often collaboratively analyze datasets, generating dataset versions at each stage of iterative exploration and analysis. There is a pressing…”
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Rotary: A Resource Arbitration Framework for Progressive Iterative Analytics by Liu, Rui, Elmore, Aaron J., Franklin, Michael J., Krishnan, Sanjay

“…Increasingly modern computing applications employ progressive iterative analytics, as best exemplified by two prevalent cases, approximate query processing…”
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Fast Adaptive Similarity Search through Variance-Aware Quantization by Paparrizos, John, Edian, Ikraduya, Liu, Chunwei, Elmore, Aaron J., Franklin, Michael J.

“…With the explosive growth of high-dimensional data, approximate methods emerge as promising solutions for nearest neighbor search. Among alternatives,…”
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CIAO: An Optimization Framework for Client-Assisted Data Loading by Ding, Cong, Tang, Dixin, Liang, Xi, Elmore, Aaron J., Krishnan, Sanjay

“…Data loading has been one of the most common performance bottlenecks for many big data applications, especially when they are running on inefficient…”
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UDP: a programmable accelerator for extract-transform-load workloads and more by Fang, Yuanwei, Zou, Chen, Elmore, Aaron J., Chien, Andrew A.

“…Big data analytic applications give rise to large-scale extract-transform-load (ETL) as a fundamental step to transform new data into a native representation…”
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varvec{\textsc {Orpheus}}$$DB: bolt-on versioning for relational databases (extended version) by Huang, Silu, Xu, Liqi, Liu, Jialin, Elmore, Aaron J., Parameswaran, Aditya

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Mostly Order Preserving Dictionaries by Liu, Chunwei, Umbenhower, McKade, Jiang, Hao, Subramaniam, Pranav, Ma, Jihong, Elmore, Aaron J.

“…Dictionary encoding, or domain encoding, is an important form of compression that uses a bijective mapping to replace attributes from a large domain (i.e…”
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AdaEdge: A Dynamic Compression Selection Framework for Resource Constrained Devices by Liu, Chunwei, Paparrizos, John, Elmore, Aaron J.

“…With the Internet of Things (IoT), a vast number of connected devices generate significant data, necessitating efficient compression techniques to manage…”
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Riveter: Adaptive Query Suspension and Resumption Framework for Cloud Native Databases by Liu, Rui, Elmore, Aaron J., Franklin, Michael J., Krishnan, Sanjay

“…In modern cloud environments, ephemeral resources with intermittent availability and fluctuating monetary costs are becoming common. This dynamic nature…”
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Elasticity Primitives for Database as a Service by Elmore, Aaron J

“…Transactional databases are a critical component in data intensive applications. They enable application developers to persist and query data without having to…”
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Data transformation and migration in polystores by Dziedzic, Adam, Elmore, Aaron J., Stonebraker, Michael

“…Ever increasing data size and new requirements in data processing has fostered the development of many new database systems. The result is that many…”
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Version Reconciliation for Collaborative Databases by Ranjan, Nalin, Shang, Zechao, Elmore, Aaron J, Krishnan, Sanjay

“…We propose MindPalace, a prototype of a versioned database for efficient collaborative data management. MindPalace supports offline collaboration, where users…”
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Opportunistic View Materialization with Deep Reinforcement Learning by Liang, Xi, Elmore, Aaron J, Krishnan, Sanjay

“…Carefully selected materialized views can greatly improve the performance of OLAP workloads. We study using deep reinforcement learning to learn adaptive view…”
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DeepLens: Towards a Visual Data Management System by Krishnan, Sanjay, Dziedzic, Adam, Elmore, Aaron J

“…Advances in deep learning have greatly widened the scope of automatic computer vision algorithms and enable users to ask questions directly about the content…”
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Understanding and Optimizing Packed Neural Network Training for Hyper-Parameter Tuning by Liu, Rui, Krishnan, Sanjay, Elmore, Aaron J, Franklin, Michael J

“…As neural networks are increasingly employed in machine learning practice, how to efficiently share limited training resources among a diverse set of model…”
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Data Station: Delegated, Trustworthy, and Auditable Computation to Enable Data-Sharing Consortia with a Data Escrow by Xia, Siyuan, Zhu, Zhiru, Zhu, Chris, Zhao, Jinjin, Chard, Kyle, Elmore, Aaron J, Foster, Ian, Franklin, Michael, Krishnan, Sanjay, Fernandez, Raul Castro

“…Pooling and sharing data increases and distributes its value. But since data cannot be revoked once shared, scenarios that require controlled release of data…”
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CIAO: An Optimization Framework for Client-Assisted Data Loading by Ding, Cong, Tang, Dixin, Liang, Xi, Elmore, Aaron J, Krishnan, Sanjay

“…Data loading has been one of the most common performance bottlenecks for many big data applications, especially when they are running on inefficient…”
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Fast and Reliable Missing Data Contingency Analysis with Predicate-Constraints by Liang, Xi, Shang, Zechao, Elmore, Aaron J, Krishnan, Sanjay, Franklin, Michael J

“…Today, data analysts largely rely on intuition to determine whether missing or withheld rows of a dataset significantly affect their analyses. We propose a…”
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Elasticity Primitives for Database as a Service by Elmore, Aaron J

“…Transactional databases are a critical component in data intensive applications. They enable application developers to persist and query data without having to…”
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DataHub: Collaborative Data Science & Dataset Version Management at Scale by Bhardwaj, Anant, Bhattacherjee, Souvik, Chavan, Amit, Deshpande, Amol, Elmore, Aaron J, Madden, Samuel, Parameswaran, Aditya G

“…Relational databases have limited support for data collaboration, where teams collaboratively curate and analyze large datasets. Inspired by software version…”
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