DocumentCode :
2347296
Title :
Probabilistic Model of System Survivability
Author :
Zhao, Yongxin ; Huang, Yanhong ; Li, Jianwen ; Zhu, Huibiao
Author_Institution :
Shanghai Key Lab. of Trustworthy Comput., East China Normal Univ., Shanghai, China
fYear :
2010
fDate :
25-27 Aug. 2010
Firstpage :
193
Lastpage :
200
Abstract :
The paper completely formalizes the concept of system survivability on the basis of Knight´s research. We present a computable probabilistic model of survivable system which is divided into two layers, i.e. the function and service. The probabilistic refinement is introduced to reason about the survivable system, which is modeled by a probabilistic choice of accepted services with respect to the operating environment. Furthermore, we present an elegant survivability specification and the differences with Knight´s related works are discussed. The command-and-control example is also revisited in our framework.
Keywords :
fault tolerant computing; probability; command-and-control; operating environment; probabilistic model; probabilistic refinement; system survivability; Argon; Computational modeling; Probabilistic logic; Probability distribution; Semantics; Syntactics; Waste materials; probabilistic refinement; probability programs; survivability;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Theoretical Aspects of Software Engineering (TASE), 2010 4th IEEE International Symposium on
Conference_Location :
Taipei
Print_ISBN :
978-1-4244-7847-7
Type :
conf
DOI :
10.1109/TASE.2010.15
Filename :
5587742
Link To Document :
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