Proceedings of the 2nd International Conference on Advances in Mechanical Engineering and Industrial Informatics (AMEII 2016)

The Cloud Service Framework Oriented Additive Manufacturing

Authors
Lei Wang, Yuan Yao, Xiaoming Yang, Dong Chen
Corresponding Author
Lei Wang
Available Online April 2016.
DOI
10.2991/ameii-16.2016.74How to use a DOI?
Keywords
additive manufacturing, cloud manufacturing, resource virtualization framework, resource management, service collaboration, task assignment, additive manufacturing cloud platform.
Abstract

This paper proposes a 4-layer device virtualization system framework based on multi peer nodes. First, the different layers of deployment and the operation processes of the system are discussed, then the resource management and the information flow are described. Finally, the interface and task assignment of the proposed system is discussed using experiments and the effectiveness and stability of the system is demonstrated.

Copyright
© 2016, 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)

Volume Title
Proceedings of the 2nd International Conference on Advances in Mechanical Engineering and Industrial Informatics (AMEII 2016)
Series
Advances in Engineering Research
Publication Date
April 2016
ISBN
978-94-6252-188-9
ISSN
2352-5401
DOI
10.2991/ameii-16.2016.74How to use a DOI?
Copyright
© 2016, 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/).

Cite this article

TY  - CONF
AU  - Lei Wang
AU  - Yuan Yao
AU  - Xiaoming Yang
AU  - Dong Chen
PY  - 2016/04
DA  - 2016/04
TI  - The Cloud Service Framework Oriented Additive Manufacturing
BT  - Proceedings of the 2nd International Conference on Advances in Mechanical Engineering and Industrial Informatics (AMEII 2016)
PB  - Atlantis Press
SP  - 362
EP  - 368
SN  - 2352-5401
UR  - https://doi.org/10.2991/ameii-16.2016.74
DO  - 10.2991/ameii-16.2016.74
ID  - Wang2016/04
ER  -