Cloud deployment and management of dataflow engines

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Cloud deployment and management of dataflow engines

Conference Paper (2017)

Author(s)

Nemanja Trifunovic (Maxeler Technologies)

Hristina Palikareva (Maxeler Technologies)

Tobias Becker (Maxeler Technologies)

Georgi Gaydadjiev (Maxeler Technologies)

Research Group

Data-Intensive Systems

Dataflow engines Elastic hybrid cloud

DOI related publication

https://doi.org/10.1145/3068126.3068795 Final published version

To reference this document use

https://resolver.tudelft.nl/uuid:d57ad54c-50a2-4742-ae94-7f5db1669221

More Info

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Publication Year

2017

Language

English

Research Group

Data-Intensive Systems

Pages (from-to)

1-6

ISBN (print)

9781450327145

Event

1st International Workshop on Cloud-Next Generation, CloudNG 2017, co-located with European Conference on Computer Systems, EuroSys 2017 (2017-04-23 - 2017-04-26), Belgrade, Serbia

Downloads counter

160

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.