Cloud deployment and management of dataflow engines

Conference paper (2017)

Authors

Nemanja Trifunović Maxeler Technologies
Hristina Palikareva Maxeler Technologies
Tobias Becker Maxeler Technologies
G. Gaydadjiev Maxeler Technologies
Research Group
Data-Intensive Systems (EEMCS) (TU Delft)
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Published Date

23-04-2017

Language

English

Reuse Rights

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Faculty

Electrical Engineering, Mathematics and Computer Science

Department

Software Technology

Research Group

Data-Intensive Systems

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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