|Table of Contents|

[1] Zhao Guosheng, Ren Mengqi, Wang Jian, Liao Yiwei, et al. Modeling and analysis of cloud computing system survivabilitybased on Bio-PEPA [J]. Journal of Southeast University (English Edition), 2018, 34 (1): 21-27. [doi:10.3969/j.issn.1003-7985.2018.01.004]
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Modeling and analysis of cloud computing system survivabilitybased on Bio-PEPA()
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Journal of Southeast University (English Edition)[ISSN:1003-7985/CN:32-1325/N]

Volumn:
34
Issue:
2018 1
Page:
21-27
Research Field:
Computer Science and Engineering
Publishing date:
2018-03-20

Info

Title:
Modeling and analysis of cloud computing system survivabilitybased on Bio-PEPA
Author(s):
Zhao Guosheng1;  Ren Mengqi1;  Wang Jian2;  Liao Yiwei1
1College of Computer Science and Information Engineering, Harbin Normal University, Harbin 150025, China
2School of Computer Science and Technology, Harbin University of Science and Technology, Harbin 150080, China
Keywords:
cloud computing system;  Bio-PEPA(biological-performance evaluation process algebra);  survivability;  stochastic simulation
PACS:
TP309
DOI:
10.3969/j.issn.1003-7985.2018.01.004
Abstract:
For the cloud computing system, combined with the memory function and incomplete matching of the biological immune system, a formal modeling and analysis method of the cloud computing system survivability is proposed by analyzing the survival situation of critical cloud services. First, on the basis of the SAIR(susceptible, active, infected, recovered)model, the SEIRS(susceptible, exposed, infected, recovered, susceptible)model and the vulnerability diffusion model of the distributed virtual system, the evolution state of the virus is divided into six types, and then the diffusion rules of the virus in the service domain of the cloud computing system and the propagation rules between service domains are analyzed. Finally, on the basis of Bio-PEPA(biological-performance evaluation process algebra), the formalized modeling of the survivability evolution of critical cloud services is made, and the SLIRAS(susceptible, latent, infected, recovered, antidotal, susceptible)model is obtained. Based on the stochastic simulation and the ODEs(ordinary differential equations)simulation of the Bio-PEPA model, the sensitivity parameters of the model are analyzed from three aspects, namely, the virus propagation speed of inter-domain, recovery ability and memory ability. The results show that the proposed model has high approximate fitting degree to the actual cloud computing system, and it can well reflect the survivable change of the system.

References:

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Memo

Memo:
Biography: Zhao Guosheng(1977—), male, doctor, professor, zgswj@163.com.
Foundation items: The National Natural Science Foundation of China(No.61202458, 61403109), the Natural Science Foundation of Heilongjiang Province of China(No.F2017021), Harbin Science and Technology Innovation Research Funds(No.2016RAQXJ036).
Citation: Zhao Guosheng, Ren Mengqi, Wang Jian, et al. Modeling and analysis of cloud computing system survivability based on Bio-PEPA[J].Journal of Southeast University(English Edition), 2018, 34(1):21-27.DOI:10.3969/j.issn.1003-7985.2018.01.004.
Last Update: 2018-03-20