This article describes specific features of cloud technology types and their existing classifications, as well as the peculiarities of their implementation in the process of designing the DDS for Big Data Management. The application of the analytic hierarchy process for the choice of cloud technology within the project of DDS for Big Data Management is suggested and described within this paper. Multi-criteria decision making task with a defined set of options and criteria is solved.
Integrated procedures of analysis have been presented combining both reliability and economical aspects of operation of a water supply system (WSS). The method presented is a practical application of the reliability analysis and life-cycle costing which is a part of a decision support system (DSS) for WSS. It focuses on undisturbed operation of systems with exceeded redundant capacity minding system's reliable and lower possible operational costs. The proposed analytical approach is shown on the example of the surface water intake which is the first subsystem of WSS influencing operation of a whole system. As a part of the study, reliability and economic assessments of various variants of future operation of water intake have been carried out as a basis for choosing most advantageous solution. The authors indicate how exceeded redundant capacity affects applied maintenance method of the system. All calculations of the reliability indicators are based on operating data contained in exploitation logs (2001-2012). The costs have been estimated based on the obtained financial documentation.
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