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A decision of support system architecture for handling the vibration data from various household objects, which consists of mobile, desktop and web parts is studied. Problems of optimal algorithms distribution between client and server sides of application is researched. The way to monethize mobile web applications on the basis of PhoneGAP plug-in feature are proposed.

Article covers the methods of vibration signals long implementations analysis as well as complex analysis of large amounts of signal data. Several architectural pattern applications of signal and analytical data warehouses for decision support system that evaluates the vibration characteristics of the objects are proposed. The ways of extending and embedding third-party functionality in MS SQL Server engine are recommended.