Assessment of the reliability of a recoverable container virtualization cluster

Container virtualization technology is increasingly being used in the development of fault-tolerant clusters with high availability and low request processing latency. In designing highly reliable clusters, a key task is the structuralparametric model-oriented synthesis which takes into account the impact of the number of deployed containers on performance, request processing latency, and system reliability. Justifying the choice of solutions to ensure high cluster reliability currently requires the development of reliability models for recoverable container virtualization clusters during reconfiguration, considering the migration of virtual containers. The basis for decisions to ensure high cluster availability is the development of models for a recoverable cluster during reconfiguration, taking into account the migration of virtual containers. The novelty of the proposed Markov model of a cluster lies in considering a two-stage recovery of its operability, determining the impact of the number of containers to be migrated during reconfiguration — both before and after the physical recovery of failed servers — on cluster reliability. Two options for container migration during cluster recovery are considered. In the first scenario, during the physical recovery phase of a failed server, container migration to a functional server does not occur, while in the second scenario it does. In the second stage of reconfiguration, following the physical recovery of a failed server, container migration takes place, allowing for either an increase or decrease in the number of containers deployed on them. Based on the proposed Markov models of cluster reliability with container virtualization, an evaluation of its readiness coefficient is provided, and the influence of the number of containers loaded during migration at the two reconfiguration stages on system reliability is determined. The proposed Markov models of cluster reliability with container virtualization are aimed at justifying design decisions for organizing and restoring cluster operability after server failures, considering the impact of container migration implementation options on system availability. Future research will analyze the impact of container migration options on both cluster availability and request processing latency at the two considered reconfiguration stages.

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