Predicting Traffic Anomalies in Container Virtualization
DOI:
https://doi.org/10.30837/csitic52021231833Keywords:
fractal traffic, Hurst parameter, container virtualization, virtual machineAbstract
Container solutions have a number of advantages over traditional ones. However, as the number of containers grows, the management complexity factor grows exponentially. In this case, the occurrence of traffic anomalies leads to deviations from the required QoS parameters. A method for predicting traffic anomalies in container virtualization has been developed. The method takes into account the peculiarities of traffic generated by a pool of containers under the control of a special system that ensures its routing and balancing in the environment of a computer system. Therefore, to predict traffic anomalies during container virtualization, it is necessary to analyze changes in the Hurst parameter.
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