Author
Sözer, Hasan, Stoelinga, M., Boudali, H., Aksit, M.
Publication Date
2017
Subject
Dependability, Availability, Fault tolerance, Local recovery, Software architecture evaluation
Type
Periodical
Language
English
Digital
Yes
Manuscript
No
Library
Özyeğin University
Library Asset ID
0963-9314
Record ID
d4294525-99bc-48db-9423-94e28bf1dc26
Library Location
Computer Science
Date
2017
Notes
Due to copyright restrictions, the access to the full text of this article is only available via subscription.
Sample Text
We present an efficient and easy-to-use methodology to predict—at design time—the availability of systems that support local recovery. Our analysis techniques work at the architectural level, where the software designer simply inputs the software modules’ decomposition annotated with failure and repair rates. From this decomposition, we automatically generate an analytical model (a continuous-time Markov chain), from which an availability measure is then computed, in a completely automated way. A crucial step is the use of intermediate models in the input/output interactive Markov chain formalism, which makes our techniques efficient, mathematically rigorous, and easy to adapt. In particular, we use aggressive minimization techniques to keep the size of the generated state spaces small. We have applied our methodology on a realistic case study, namely the MPlayer open-source software. We have investigated four different decomposition alternatives and compared our analytical results with the measured availability on a running MPlayer. We found that our predicted results closely match the measured ones .
DOI
10.1007/s11219-016-9315-9
Cilt
25
