Cloud deployment and management of dataflow engines

Conference Paper (2017)
Author(s)

Nemanja Trifunovic (Maxeler Technologies)

Hristina Palikareva (Maxeler Technologies)

Tobias Becker (Maxeler Technologies)

G. Gaydadjiev (Maxeler Technologies)

Research Group
Data-Intensive Systems
DOI related publication
https://doi.org/10.1145/3068126.3068795
More Info
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Publication Year
2017
Language
English
Research Group
Data-Intensive Systems
Pages (from-to)
1-6
ISBN (print)
9781450327145

Abstract

Maxeler Technologies successfully commercialises high-performance computing systems based on dataflow technology. Maxeler dataflow computers have been deployed in a wide range of application domains including financial data analytics, geoscience and low-latency transaction processing. In the context of cloud computing steadily growing acceptance in new domains, we illustrate how Maxeler dataflow systems can be integrated and employed in a self-organising self-managing heterogeneous cloud environment.

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