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20122021
most citedThe Case for Automatic Database Administration using Deep Reinforcement Learning

43 citations · 64 across the 6 of their papers we have counts for

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7 papers · 1 filter

cs.DB2021

Fast Compilation and Execution of SQL Queries with WebAssembly

Immanuel Haffner, Jens Dittrich

Interpreted execution of queries, as in the vectorized model, suffers from interpretation overheads. By compiling queries this interpretation overhead is eliminated at the cost of…

cs.DB20195 cited

ChainifyDB: How to Blockchainify any Data Management System

Felix Martin Schuhknecht, Ankur Sharma, Jens Dittrich +1

Today's permissioned blockchain systems come in a stand-alone fashion and require the users to integrate yet another full-fledged transaction processing system into their already c…

cs.DB2019

The Case for Deep Query Optimisation

Jens Dittrich, Joris Nix

Query Optimisation (QO) is the most important optimisation problem in databases. The goal of QO is to compute the best physical plan under a given cost model. In that process, phys…

cs.DB201843 cited

The Case for Automatic Database Administration using Deep Reinforcement Learning

Ankur Sharma, Felix Martin Schuhknecht, Jens Dittrich

Like any large software system, a full-fledged DBMS offers an overwhelming amount of configuration knobs. These range from static initialisation parameters like buffer sizes, degre…

cs.DB2017

Accelerating Analytical Processing in MVCC using Fine-Granular High-Frequency Virtual Snapshotting

Ankur Sharma, Felix Martin Schuhknecht, Jens Dittrich

Efficient transactional management is a delicate task. As systems face transactions of inherently different types, ranging from point updates to long running analytical computation…

cs.DB201212 cited

Towards Zero-Overhead Adaptive Indexing in Hadoop

Stefan Richter, Jorge-Arnulfo Quiané-Ruiz, Stefan Schuh +1

Several research works have focused on supporting index access in MapReduce systems. These works have allowed users to significantly speed up selective MapReduce jobs by orders of…