activity
20152018
most citedFITing-Tree: A Data-aware Index Structure

203 citations · 256 across the 7 of their papers we have counts for

collaborators

8 papers

cs.DB2018★ 29 cited

Chiller: Contention-centric Transaction Execution and Data Partitioning for Modern Networks

Erfan Zamanian, Julian Shun, Carsten Binnig +1

Distributed transactions on high-overhead TCP/IP-based networks were conventionally considered to be prohibitively expensive and thus were avoided at all costs. To that end, the pr…

cs.DB2018

IDEBench: A Benchmark for Interactive Data Exploration

Philipp Eichmann, Carsten Binnig, Tim Kraska +1

Existing benchmarks for analytical database systems such as TPC-DS and TPC-H are designed for static reporting scenarios. The main metric of these benchmarks is the performance of…

cs.DB2018★ 203 cited

FITing-Tree: A Data-aware Index Structure

Alex Galakatos, Michael Markovitch, Carsten Binnig +2

Index structures are one of the most important tools that DBAs leverage to improve the performance of analytics and transactional workloads. However, building several indexes over…

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.DB2016★ 1 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.DB2016★ 13 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.DB2015

Estimating the Impact of Unknown Unknowns on Aggregate Query Results

Yeounoh Chung, Michael Lind Mortensen, Carsten Binnig +1

It is common practice for data scientists to acquire and integrate disparate data sources to achieve higher quality results. But even with a perfectly cleaned and merged data set,…

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…