Self-similar model of cloud data warehouse load

This article presents the results of the practical study of real load cloud storage. The dynamic characteristics of incoming and outgoing traffic and distribution capacity server hardware are established. It has enabled a dynamic model load construction and the opportunity to practically demonstrate the feasibility of using fractal models. Temporal self-similarity parameters have been revealed. Implemented self-similar model of load allows accurately predict the workload in the time context.