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Roman Heinrich

7 papers hereh-index 789 citations9 works total

Matching runs newest-first, so older work may not be attached to this profile yet.

author position
  • first author3
  • middle author4

Across the 7 of 7 papers where every author was matched, so the position is known.

fields
  • cs.DB4
  • cs.DC3

identity via Semantic Scholar / OpenAlex

activity
20222025
most citedCOSTREAM: Learned Cost Models for Operator Placement in Edge-Cloud Environments

10 citations · 28 across the 6 of their papers we have counts for

collaborators
Showing cs.DBShow all

4 papers · 1 filter

cs.DB2025

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…

cs.DB2025

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…

cs.DB2025

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…

cs.DB2025★ 9 cited

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.…

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