Testing Ant Colony Algorithms for the Formation of Software for Real Time Systems

Ковалев, И В; Ковалев, Д. И.; Borovinsky, D.V.; Mansurova, T.P.; Voroshilova, A.A.

doi:10.17513/snt.39169

Cited by 1 publication

(1 citation statement)

References 0 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…The improved voting algorithms considered in the article make it possible to unify the operation of the decision block when implementing the multiversion execution environment of various software systems for fault-tolerant applications. The use of improved algorithms expands the possibilities of using multiversion programming implemented on the basis of other well-known models [12][13][14][15]. In these works, in particular, such models as the recovery block model, the sequentially recovering blocks model, N-version programming, t/(n-1)-version programming, and N-version programming with self-checking are implemented.…”

Section: Discussionmentioning

confidence: 99%

Improving decision-making algorithms on the correctness of the states of multiversions of fault-tolerant software systems

Ковалев¹,

Zaitsev²

2023

ИЭУ

View full text Add to dashboard Cite

The task of improving the algorithms for making decisions about the correctness of the states of multiversions is relevant today for the development of fault-tolerant software systems. The article considers a class of decision-making algorithms that are implemented in the execution environment of multi-version program modules. This execution environment includes a decision block, which, based on the principle of voting, allows you to get the correct decision at the output, filtering out the erroneous results of the execution of software versions. Advanced algorithms allocate the output results of multiversion triggering into classes or subsets, which are then analyzed for correctness. This approach is characterized by the fact that it allows you to increase the stability of the runtime environment to interversion errors. This, in turn, helps to improve the fault tolerance of software systems used in reliability-critical applications.

show abstract

Section: Discussionmentioning

confidence: 99%