Proceedings of the 2017 2nd International Conference on Control, Automation and Artificial Intelligence (CAAI 2017)

Design and Implementation of Workflow Scheduling Platform for Big Data

Authors
Zhifei Tan, Chen Li, Xia Hou, Junlin Du, Haibo Wang
Corresponding Author
Zhifei Tan
Available Online June 2017.
DOI
https://doi.org/10.2991/caai-17.2017.92How to use a DOI?
Keywords
big data; workflow scheduling platform;hadoop
Abstract
Data analysts use big data processing technology to analyze rich content and find statistical law. The demand for analyzing data is soaring. This paper designs a visualization big data workflow scheduling platform. It can simplify processes of analyzing data via using user interfaces to edit workflow. It integrates data processing algorithm for Hadoop and Spark, also provides various data analysis services and management interfaces for workflow programs and files.
Open Access
This is an open access article distributed under the CC BY-NC license.

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Proceedings
2017 2nd International Conference on Control, Automation and Artificial Intelligence (CAAI 2017)
Part of series
Advances in Intelligent Systems Research
Publication Date
June 2017
ISBN
978-94-6252-360-9
ISSN
1951-6851
DOI
https://doi.org/10.2991/caai-17.2017.92How to use a DOI?
Open Access
This is an open access article distributed under the CC BY-NC license.

Cite this article

TY  - CONF
AU  - Zhifei Tan
AU  - Chen Li
AU  - Xia Hou
AU  - Junlin Du
AU  - Haibo Wang
PY  - 2017/06
DA  - 2017/06
TI  - Design and Implementation of Workflow Scheduling Platform for Big Data
BT  - 2017 2nd International Conference on Control, Automation and Artificial Intelligence (CAAI 2017)
PB  - Atlantis Press
SP  - 406
EP  - 410
SN  - 1951-6851
UR  - https://doi.org/10.2991/caai-17.2017.92
DO  - https://doi.org/10.2991/caai-17.2017.92
ID  - Tan2017/06
ER  -