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Scheme of implementation of the functionality of smart grids of regional energy.

Scheme of implementation of the functionality of smart grids of regional energy.

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Information systems based on Bayesian intelligent technologies make it possible to implement monitoring, control and management tools within the framework of the “Smart City” concept. Such tasks are connected, on the one hand, with the processing of large arrays of various types of information, on the other hand, with difficult conditions for solvi...

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... BPM methodology, the algorithmic base of the BII and BIT served as the basis for creating a methodological base for the LSI for the tasks of energy and housing and communal services. The BIN implementation diagram is shown in figure 1 and 2. ...

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Quite often, developers face low performance, hanging, and other problems when they’re developing sites. To solve such problems, we need to trace site requests. Existing tracing methods do not allow tracing the progress of requests from a client’s web browser to a server or group of servers. In this paper, we propose distributed tracing mechanism that allows tracking requests starting from the browser. For generating complete client-to-server tracing, the client application must be able to initiate the appropriate request. For the execution of these actions, we need to use a unique library. In the paper, we consider the algorithm of such a library. A popular tracer (OpenTracing) is used on the serverside. Based on the proposed methodology, a library was developed. The library's work was tested. Testing has shown that using the library, and we can track the complete chain of requests from a browser to the server. Trace result is presented in graphical view. This allows analyzing received data and finding bottlenecks when queries are passing. The novelty of the proposed solution is that the request is traced from the client application and to the client application. That is, the full path of the request is shown. The result is presented in a graphical form that is convenient for analysis. The library is designed primarily for the development of client-server applications and for support services.
Chapter
The effectiveness of the functioning of cyber-physical systems is based primarily on the use of powerful methods of obtaining and processing information. The complexity of the structures and properties of cybernetic systems, as well as the conditions of their functioning, determines special requirements for the methods of measurements and calculations performed in such systems. As a rule, the uncertainty of CPS models, as well as the uncertainty of the influence of external environment factors and their interrelations with the properties of systems, primarily determine the requirements for the intellectualization of measurements and computational information processing. This article offers methods and tools of Bayesian intelligent measurements (BIM) to ensure the effectiveness of managing cyber-physical systems under conditions of uncertainty. The concept and methodology of creating an intelligent industrial Internet of Things (IIoT) is proposed, the distinctive feature of which is the intellectualization of measurement methods and predictive data processing. For this purpose, the IIoT includes an intelligent DATALAKE, which is built on the basis of a Bayesian intelligent measurement system that implements not only the functions of measurement and data integration, but also support for management decision-making. Examples of real cyber-physical systems with control based on Bayesian intelligent measurement tools are given. The prospects of using the proposed solutions based on BIM in various modern technologies based on the principles of BIG DATA, DATA SCIENCE, neural networks, IIoT, DATA MINING and others are considered.KeywordsArtificial intelligenceMeasurement theoryUncertaintyRegularizing bayesian approachCyberphysical systems