This article addresses the challenges of a digital cloud environment when it comes to global scalability with a large number of remote servers and an unsecure public cloud, such as Amazon. The goal of the study was to work out an approach for evaluating the reasonable system capacity under heavy workload. For that purpose, Zabbix monitoring solution is used and business metrics are applied in relation to existing system ones. A prediction data model is proposed to compute the future forecast of the user activity based on the collected historical statistics and to verify whether capacity adjustment is possible or not. The results of capacity planning are implemented at Genesys International Telecommunications Company. System analysis of the production environment indicates the possibility to downscale the capacity of certain virtual servers, which allowed savings to the annual operational costs of $3500 (50%) for each affected server.
The goal is to study the visual perception of graphic composition of various styles. An original author's method of conducting an experiment has been developed, which includes the preparation of stimulus material, collecting data, and statistical algorithms to analyze parametric data. The stimulus materials were based on graphic images in the cubism and abstractionism styles as well as on photorealistic images. An eye-tracking equipment was used to record eye movement activity and collect experimental data. The statistical analysis of the parametric data of the observer's viewing pattern has revealed that the viewer’s perception of visual information is more effective by observers with art education. The results are of importance for developing effective training and test systems for operators, users, GUI developers, etc.
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