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most citedApproximate Queries and Representations for Large Data Sequences

260 citations · 373 across the 11 of their papers we have counts for

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cs.DB2019★ 260 cited

Approximate Queries and Representations for Large Data Sequences

Hagit Shatkay, Stanley B. Zdonik

Many new database application domains such as experimental sciences and medicine are characterized by large sequences as their main form of data. Using approximate representation c…

cs.DB2015★ 10 cited

The End of Slow Networks: It's Time for a Redesign

Carsten Binnig, Andrew Crotty, Alex Galakatos +2

Next generation high-performance RDMA-capable networks will require a fundamental rethinking of the design and architecture of modern distributed DBMSs. These systems are commonly…

cs.DB2015

S-Store: Streaming Meets Transaction Processing

John Meehan, Nesime Tatbul, Stan Zdonik +10

Stream processing addresses the needs of real-time applications. Transaction processing addresses the coordination and safety of short atomic computations. Heretofore, these two mo…

cs.DB2014★ 13 cited

Tupleware: Redefining Modern Analytics

Andrew Crotty, Alex Galakatos, Kayhan Dursun +3

There is a fundamental discrepancy between the targeted and actual users of current analytics frameworks. Most systems are designed for the data and infrastructure of the Googles a…

cs.DB2011★ 5 cited

On Predictive Modeling for Optimizing Transaction Execution in Parallel OLTP Systems

Andrew Pavlo, Evan P. C. Jones, Stanley Zdonik

A new emerging class of parallel database management systems (DBMS) is designed to take advantage of the partitionable workloads of on-line transaction processing (OLTP) applicatio…

cs.DB2011

Optimizing Index Deployment Order for Evolving OLAP (Extended Version)

Hideaki Kimura, Carleton Coffrin, Alexander Rasin +1

Query workloads and database schemas in OLAP applications are becoming increasingly complex. Moreover, the queries and the schemas have to continually \textit{evolve} to address bu…

cs.DB2011★ 2 cited

The VC-Dimension of Queries and Selectivity Estimation Through Sampling

Matteo Riondato, Mert Akdere, Ugur Cetintemel +2

We develop a novel method, based on the statistical concept of the Vapnik-Chervonenkis dimension, to evaluate the selectivity (output cardinality) of SQL queries - a crucial step i…

cs.DB2003★ 6 cited

The Lowell Database Research Self Assessment

Serge Abiteboul, Rakesh Agrawal, Phil Bernstein +26

A group of senior database researchers gathers every few years to assess the state of database research and to point out problem areas that deserve additional focus. This report su…