activity
20122024
most citedThe End of a Myth: Distributed Transactions Can Scale

13 citations · 50 across the 12 of their papers we have counts for

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9 papers · 1 filter

cs.DB2023

Parallel External Sorting of ASCII Records Using Learned Models

Ani Kristo, Tim Kraska

External sorting is at the core of many operations in large-scale database systems, such as ordering and aggregation queries for large result sets, building indexes, sort-merge joi…

cs.DB2016

Controlling False Discoveries During Interactive Data Exploration

Zheguang Zhao, Lorenzo De Stefani, Emanuel Zgraggen +3

Recent tools for interactive data exploration significantly increase the chance that users make false discoveries. The crux is that these tools implicitly allow the user to test a…

cs.DB20161 cited

Revisiting Reuse in Main Memory Database Systems

Kayhan Dursun, Carsten Binnig, Ugur Cetintemel +1

Reusing intermediates in databases to speed-up analytical query processing has been studied in the past. Existing solutions typically require intermediate results of individual ope…

cs.DB201613 cited

The End of a Myth: Distributed Transactions Can Scale

Erfan Zamanian, Carsten Binnig, Tim Kraska +1

The common wisdom is that distributed transactions do not scale. But what if distributed transactions could be made scalable using the next generation of networks and a redesign of…

cs.DB20143 cited

The Expected Optimal Labeling Order Problem for Crowdsourced Joins and Entity Resolution

Jiannan Wang, Guoliang Li, Tim Kraska +2

In the SIGMOD 2013 conference, we published a paper extending our earlier work on crowdsourced entity resolution to improve crowdsourced join processing by exploiting transitive re…

cs.DB2014

Leveraging Transitive Relations for Crowdsourced Joins

Jiannan Wang, Guoliang Li, Tim Kraska +2

The development of crowdsourced query processing systems has recently attracted a significant attention in the database community. A variety of crowdsourced queries have been inves…