Self-similar model of cloud data warehouse load
Journal Title: Vìsnik Nacìonalʹnogo unìversitetu "Lʹvìvsʹka polìtehnìka". Serìâ Ìnformacìjnì sistemi ta merežì - Year 2015, Vol 814, Issue
Abstract
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.
Authors and Affiliations
Rostyslav Strubytskyi
Keywords
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