NebulaStream: An Extensible, High-Performance Streaming Engine for Multi-Modal Edge Applications
NebulaStream is a novel, open-source data stream processing system for massively distributed, heterogeneous data streams in the cloud-edge continuum. It adheres to the design goals of ease-of-use, extensibility, and efficiency to provide a framework for users and developers to implement diverse Internet of Things (IoT) use cases. Equipped with essential built-in functionalities, NebulaStream allows users to customize the system easily while ensuring efficient execution even on low-end devices.
Authors
- Volker Markl (ORCID: https://orcid.org/0009-0009-0964-026X)
- Tobias Roeschl (ORCID: https://orcid.org/0000-0002-8376-3366)
- Ariane Ziehn
- Kristin M. Kruger (ORCID: https://orcid.org/0009-0002-1999-0991)
- Adrian Michalke
- Steffen Zeuch (ORCID: https://orcid.org/0000-0002-4082-7788)
- Taha Tekdogan (ORCID: https://orcid.org/0000-0003-2091-3192)
- Nils Schubert (ORCID: https://orcid.org/0009-0001-0909-2082)
- Alexander Meyer (ORCID: https://orcid.org/0000-0002-6944-2478)
- Aljoscha Lepping (ORCID: https://orcid.org/0009-0007-5035-6493)
- Ricardo Martínez
- Christoph Falkensteiner
- Lukas Schwerdtfeger
- Svea Wilkending
Institutions
- Berlin Institute for the Foundations of Learning and Data (DE)
- Charité - Universitätsmedizin Berlin (DE)
Publication Details
- Published
- 2025-06-17
- DOI
- https://doi.org/10.1145/3722212.3725118
- Primary Topic
- Data Stream Mining Techniques
- Type
- article
- Field-Weighted Citation Impact
- 0.00