10 citations · 19 across the 5 of their papers we have counts for
5 papers
Towards a Multimodal Stream Processing System
Uélison Jean Lopes dos Santos, Alessandro Ferri, Szilard Nistor +3
In this paper, we present a vision for a new generation of multimodal streaming systems that embed MLLMs as first-class operators, enabling real-time query processing across multip…
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…
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…