Abstract
The article considers the possibility of applying an optimization algorithm based on the behavior of an ant colony to the problem of forming a multiversion fault-tolerant software package. The necessary modifications of the basic algorithm and a model of graph construction for the implementation of the ant algorithm for the chosen problem are proposed. The optimization takes into account such features as cost, reliability and evaluation of the successful implementation of each version with the specified characteristics. A certain combination of versions in each module affects the characteristics of the module, and each characteristic of the module affects the characteristics of the system, so it is important to choose the optimal structure for each module to ensure the required characteristics of the system as a whole. The program system that implements the proposed algorithm is considered. The simulation results obtained with the help of the proposed software tool are considered. The results confirm the applicability of the ant algorithms to the problem of forming a multiversion software package, and they show their effectiveness.
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This work was supported by Ministry of Education and Science of Russian Federation within limits of state contract â„– 2.2867.2017/4.6.
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Saramud, M.V., Kovalev, I.V., Losev, V.V., Karaseva, M.V., Kovalev, D.I. (2018). On the Application of a Modified Ant Algorithm to Optimize the Structure of a Multiversion Software Package. In: Tan, Y., Shi, Y., Tang, Q. (eds) Advances in Swarm Intelligence. ICSI 2018. Lecture Notes in Computer Science(), vol 10941. Springer, Cham. https://doi.org/10.1007/978-3-319-93815-8_10
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DOI: https://doi.org/10.1007/978-3-319-93815-8_10
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