2nd International Conference On Systems Engineering and Modeling (ICSEM-13)

An Aspect Oriented Method to Model and AnalyzeSelf-Recovery of Cloud Computing

Authors
Xiaoyun Zhang, Chanle Wu, Xue Su
Corresponding Author
Xiaoyun Zhang
Available Online April 2013.
DOI
https://doi.org/10.2991/icsem.2013.93How to use a DOI?
Keywords
Failure recovery, service composition, aspect orientation, Petri nets
Abstract
Cloud computing has attracted much interest recently from both industry and academic. More and more Internet applications are moving to the cloud environment. This paper proposes an aspect oriented method to model and analyze self-recovery of cloud application according to its characteristics. Petri nets are used as the formal description language for cloud application, and use it to describe its basic elements, such as, cloud module, resource service, physical machine, virtual machine, etc. Aspect oriented programming method is used to extract self-recovery process as the core and crosscutting concerns. On this basis, the self-recovery approach is presented, the related theories and tools of Petri nets are used to verify the correctness of proposed method. Experiments show that the proposed solutions have better performance in supporting the self-healing Web service composition.
Open Access
This is an open access article distributed under the CC BY-NC license.

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Proceedings
2nd International Conference On Systems Engineering and Modeling (ICSEM-13)
Part of series
Advances in Intelligent Systems Research
Publication Date
April 2013
ISBN
978-94-91216-42-8
ISSN
1951-6851
DOI
https://doi.org/10.2991/icsem.2013.93How 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  - Xiaoyun Zhang
AU  - Chanle Wu
AU  - Xue Su
PY  - 2013/04
DA  - 2013/04
TI  - An Aspect Oriented Method to Model and AnalyzeSelf-Recovery of Cloud Computing
BT  - 2nd International Conference On Systems Engineering and Modeling (ICSEM-13)
PB  - Atlantis Press
SN  - 1951-6851
UR  - https://doi.org/10.2991/icsem.2013.93
DO  - https://doi.org/10.2991/icsem.2013.93
ID  - Zhang2013/04
ER  -