The article is devoted to the use of a private cloud for data analysis. Modern cloud technologies can significantly reduce costs, and today many companies are increasingly moving their corporate systems and business applications to the cloud, including the data analysis process. The aim is to analyze the quotations of precious metals for the period from 01/01/2018 to 08/01/2018, taken from the information portal Finam.ru for retail traders. To achieve this goal, the following tasks were set: network virtualization, projection of a private cloud based on Microsoft System Center Virtual Machine Manager 2012, the development of a service for forecasting data on precious metal quotations (gold, silver, platinum, palladium) using a time series algorithm and a decision tree. The subject of research is the technology of the private cloud, use it to deploy the service to analyze the data. In the conclusion the results of the service are shown, the practical use of cloud computing for data analysis is shown. The evaluation of the quality of the constructed models makes it possible to consider it satisfactory from the statistical point of view.

Keywords: cloud computing, private cloud, data mining, cloud service, virtualization, data analysis, forecasting

It implemented the problem of identification of damaged bearing beams span bridge structures using vibration diagnostics methods, taking into account experimental uncertainties associated with natural hazards and man-made processes. Method fault location is based on analysis of dynamic properties of the structure, such as the natural frequencies and mode shapes. The paper shows the study of finite element model of the bridge structure using the method of determining structural damage indicator based on the values ​​of waveforms normalization taking into account the values ​​of the oscillation area.

Keywords: damage detection, multi-girder bridge superstructure