10 citations · 28 across the 6 of their papers we have counts for
7 papers
Redbench: Workload Synthesis From Cloud Traces
Johannes Wehrstein, Roman Heinrich, Mihail Stoian +5
Workload traces from cloud data warehouse providers reveal that standard benchmarks such as TPC-H and TPC-DS fail to capture key characteristics of real-world workloads, including…
JOB-Complex: A Challenging Benchmark for Traditional & Learned Query Optimization
Johannes Wehrstein, Timo Eckmann, Roman Heinrich +1
Query optimization is a fundamental task in database systems that is crucial to providing high performance. To evaluate learned and traditional optimizer's performance, several ben…
PDSP-Bench: A Benchmarking System for Parallel and Distributed Stream Processing
Pratyush Agnihotri, Boris Koldehofe, Roman Heinrich +2
The paper introduces PDSP-Bench, a novel benchmarking system designed for a systematic understanding of performance of parallel stream processing in a distributed environment. Such…
GRACEFUL: A Learned Cost Estimator For UDFs
Johannes Wehrstein, Tiemo Bang, Roman Heinrich +1
User-Defined-Functions (UDFs) are a pivotal feature in modern DBMS, enabling the extension of native DBMS functionality with custom logic. However, the integration of UDFs into que…
How Good are Learned Cost Models, Really? Insights from Query Optimization Tasks
Roman Heinrich, Manisha Luthra, Johannes Wehrstein +2
Traditionally, query optimizers rely on cost models to choose the best execution plan from several candidates, making precise cost estimates critical for efficient query execution.…
COSTREAM: Learned Cost Models for Operator Placement in Edge-Cloud Environments
Roman Heinrich, Carsten Binnig, Harald Kornmayer +1
In this work, we present COSTREAM, a novel learned cost model for Distributed Stream Processing Systems that provides accurate predictions of the execution costs of a streaming que…
Zero-Shot Cost Models for Distributed Stream Processing
Roman Heinrich, Manisha Luthra, Harald Kornmayer +1
This paper proposes a learned cost estimation model for Distributed Stream Processing Systems (DSPS) with an aim to provide accurate cost predictions of executing queries. A major…