An AppGallery for dataflow computing

Trifunovic, N; Milutinovic, V; Korolija, N; Gaydadjiev, G

doi:https://www.dx.doi.org/10.1186/s40537-015-0038-8

File(s)

s40537-015-0038-8.pdf (4.49 MB)

Published version

Author(s)

Trifunovic, N

Milutinovic, V

Korolija, N

Gaydadjiev, G

Type

Journal Article

Abstract

This paper describes the vision behind and the mission of the Maxeler Application Gallery (AppGallery.Maxeler.com) project. First, it concentrates on the essence and performance advantages of the Maxeler dataflow approach. Second, it reviews the support technologies that enable the dataflow approach to achieve its maximum. Third, selected examples of the Maxeler Application Gallery are presented; these examples are treated as the final achievement made possible when all the support technologies are put to work together (internal infrastructure of the AppGallery.Maxeler.com is given in a follow-up paper). As last, the possible impact of the Application Gallery is presented and the major conclusions are drawn.

Date Issued

2016-02-18

Date Acceptance

2015-12-22

Citation

Journal Of Big Data, 2016, 3 (4)

URI

http://hdl.handle.net/10044/1/58503

DOI

https://www.dx.doi.org/10.1186/s40537-015-0038-8

ISSN

2196-1115

Publisher

SpringerOpen

Journal / Book Title

Journal Of Big Data

Volume

3

Issue

4

Copyright Statement

© Trifunovic et al. 2016. This article is distributed under the terms of the Creative Commons Attribution 4.0 International License (http://creativecommons.org/licenses/by/4.0/), which permits unrestricted use, distribution, and reproduction in any medium, provided you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license, and indicate if changes were made.

Publication Status

Published