Proceedings of the 2016 4th International Conference on Electrical & Electronics Engineering and Computer Science (ICEEECS 2016)

A Multi-Agent Based Approach to Monitoring IaaS Security SLA

Authors
Jiajin Cao, Chunhe Xia, Xiaochen Liu
Corresponding Author
Jiajin Cao
Available Online December 2016.
DOI
10.2991/iceeecs-16.2016.241How to use a DOI?
Keywords
Cloud Security, IaaS, Security SLA, SLA Monitoring.
Abstract

Security SLA in cloud service is of great importance for user confidence, but there is little research on it. In this paper, we analyze the important security requirements in IaaS cloud, bring up a native scalable monitoring framework for security SLA in IaaS cloud and raise monitoring methods for important security SLAs in the OpenStack platform. The monitoring framework raised in this paper provides high scalability because of the RESTful design, and has a universal suitability.

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/).

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Volume Title
Proceedings of the 2016 4th International Conference on Electrical & Electronics Engineering and Computer Science (ICEEECS 2016)
Series
Advances in Computer Science Research
Publication Date
December 2016
ISBN
978-94-6252-265-7
ISSN
2352-538X
DOI
10.2991/iceeecs-16.2016.241How 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  - Jiajin Cao
AU  - Chunhe Xia
AU  - Xiaochen Liu
PY  - 2016/12
DA  - 2016/12
TI  - A Multi-Agent Based Approach to Monitoring IaaS Security SLA
BT  - Proceedings of the 2016 4th International Conference on Electrical & Electronics Engineering and Computer Science (ICEEECS 2016)
PB  - Atlantis Press
SP  - 1239
EP  - 1242
SN  - 2352-538X
UR  - https://doi.org/10.2991/iceeecs-16.2016.241
DO  - 10.2991/iceeecs-16.2016.241
ID  - Cao2016/12
ER  -