On the Semantic Overlap of Operators in Stream Processing Engines

Stream Processing Engines (SPEs) extract value from data streams in the Edge-to-Cloud continuum through graphs of operators that progressively transform data.

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Publication Details

Published
2024-11-27
DOI
https://doi.org/10.1145/3652892.3654790
Citations
1
Primary Topic
Advanced Database Systems and Queries
Type
article
Field-Weighted Citation Impact
0.35

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article

On the Semantic Overlap of Operators in Stream Processing Engines

Marina Papatriantafilou, Alessandro Margara, Vincenzo Gulisano
1 citations
Advanced Database Systems and Queries
0.35
article

On the Semantic Overlap of Operators in Stream Processing Engines

Marina Papatriantafilou, Alessandro Margara, Vincenzo Gulisano
article en
1 citations

Abstract

Stream Processing Engines (SPEs) extract value from data streams in the Edge-to-Cloud continuum through graphs of operators that progressively transform data.

Chalmers University of Technology (SE), Politecnico di Milano (IT)
Chalmers Tekniska Högskola, HORIZON EUROPE Marie Sklodowska-Curie Actions
Openalex Percentile: Top 36%
Advanced Database Systems and Queries
0.35
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On the Semantic Overlap of Operators in Stream Processing Engines — Marina Papatriantafilou, Alessandro Margara, et al. · (2024) | TGRS Research Map | TGRS