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)
More Info
expand_more

Published Date

23-04-2017

Language

English

Reuse Rights

Other than for strictly personal use, it is not permitted to download, forward or distribute the text or part of it, without the consent of the author(s) and/or copyright holder(s), unless the work is under an open content license such as Creative Commons.

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.

Files

3068126.3068795.pdf
(pdf | 1.61 Mb)

Download not available