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S4: Distributed Stream Computing Platform
Abstract
S4 is a general-purpose, distributed, scalable, partially fault-tolerant, pluggable platform that allows programmers to easily develop applications for processing continuous unbounded streams of data. Keyed data events are routed with affinity to Processing Elements (PEs), which consume the events and do one or both of the following: (1) emit one or more events which may be consumed by other PEs, (2) publish results. The architecture resembles the Actors model, providing semantics of encapsulation and location transparency, thus allowing applications to be massively concurrent while exposing a simple programming interface to application developers. In this paper, we outline the S4 architecture in detail, describe various applications, including real-life deployments. Our design is primarily driven by large scale applications for data mining and machine learning in a production environment. We show that the S4 design is surprisingly flexible and lends itself to run in large clusters built with commodity hardware.
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Cites
A Simplex Method for Function Minimization
Nelder, J. A., & Mead, R. (1965) · The Computer Journal · doi:10.1093/comjnl/7.4.308 · Cited by 28,905
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Hu, H., Wen, Y., Chua, T.-S., & Li, X. (2014) · IEEE Access · doi:10.1109/access.2014.2332453 · Cited by 1,099
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Hashem, I. A. T., Chang, V., Anuar, N. B., Adewole, K., Yaqoob, I., Gani, A., Ahmed, E., & Chiroma, H. (2016) · International Journal of Information Management · doi:10.1016/j.ijinfomgt.2016.05.002 · Cited by 1,103
Machine learning with big data: challenges and approaches.
L'Heureux, A., Grolinger, K., Elyamany, H. F., & Capretz, M. A. M. (2017) · IEEE Access · doi:10.1109/access.2017.2696365 · Cited by 1,023
Metadata
- Authors
- Neumeyer, L., Robbins, B., Nair, A., & Kesari, A.
- Venue
- 2010 IEEE International Conference on Data Mining Workshops
- Publisher
- IEEE
- Published
- 2010-12
- Pages
- 170-177
- ISSN
- 2375-9259 (ISSN-L)
- OpenAlex
- W2119745055
- Cited by
- 900
- References
- 1
- FWCI
- 45.68
- Type
- conference paper
- Language
- en
- Open access
- closed
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- Neumeyer, L., Robbins, B., Nair, A., & Kesari, A. (2010). S4: Distributed Stream Computing Platform. 2010 IEEE International Conference on Data Mining Workshops. https://doi.org/10.1109/icdmw.2010.172
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Contains information from the Semantic Scholar Academic Graph Datasets, made available under the ODC Attribution License (ODC-BY 1.0).
Semantic Scholar’s data is described in: Kinney, R., et al. (2023). The Semantic Scholar Open Data Platform. arXiv:2301.10140.
