Analysis of Cloud Workflow System

DOI

10.2991/msota-16.2016.68How to use a DOI?

Keywords

component; HPC; workflow; Petri Net; Hadoop; MapReduce

Abstract

With the rapid development of economy, science and technology, the computing environment and process become more and more complicated, and the computing scale becomes larger and bigger, The cloud workflow system can solve the automatic control and comprehensive management of transaction flow in big data environment. This paper introduces the current situation of cloud workflow technology at home and abroad, and then analyzes its related technologies, including model, scheduling method and Hadoop technology. At last, the paper elaborates the MapReduce workflow system using the middle layer Proxy structure and explains its advantages.

Copyright

© 2017, the Authors. Published by Atlantis Press.

Open Access

This is an open access article distributed under the CC BY-NC license (http://creativecommons.org/licenses/by-nc/4.0/).

Download article (PDF)

TY  - CONF
AU  - Hailan Pan
AU  - Cuihong Wu
PY  - 2016/12
DA  - 2016/12
TI  - Analysis of Cloud Workflow System
BT  - Proceedings of 2016 International Conference on Modeling, Simulation and Optimization Technologies and Applications (MSOTA2016)
PB  - Atlantis Press
SP  - 319
EP  - 322
SN  - 2352-538X
UR  - https://doi.org/10.2991/msota-16.2016.68
DO  - 10.2991/msota-16.2016.68
ID  - Pan2016/12
ER  -