The article discusses possible approaches to data collection and information collection in multi-level distributed systems. It is suggested to use model based approach. The requirements to these models are analyzed and the system of models is proposed. The system of models describes the structure and behavior of the observed system in terms of graphs. The resource graph, the data flow graph, the control flow graph, and the query flow graph are used. These graphs are automatically constructed on the basis of information received from the observed system in the form of log files. A virtual machine that implements this approach is proposed.
The approach to the construction of promising cognitive monitoring systems is considered. Based on the analysis of known solutions, the problem of automatic synthesis of computational models of cognitive monitoring is posed. In the synthesis of models, it is proposed to reduce them to relatively finite operational automata. An example of a synthesized model of cognitive monitoring is given.
The modern stage of information technology development is characterized by the acute need to use cognitive technologies for the solution of tasks of practice, in particular, in the sphere of real world objects monitoring and management. Practical usage of cognitive systems of monitoring is significantly limited to two factors now: operation at the level of knowledge leads to loss of speed, and the high complexity of software solutions leads to increase in cost of development. In order to solve these problems it is suggested to use architectural cognitive approach to design of systems of monitoring. In the article the concept of cognitive monitoring is defined. A new approach to creation of cognitive systems of monitoring which functioning is based on use of model of a target object and the model of monitoring system presented in terms of knowledge are proposed. The idea of this approach is generation of the loaded architecture according to these models. The generalized structure of cognitive system of monitoring is given, the concept of the cognitive monitoring machine, which basic elements are the subsystem of creation of models, a subsystem of transformation of models, a subsystem of processing of models, a generator of architecture, a generator of reports and reactions, a repository and a set of adapters is entered. The structure of the platform focused on realization of this approach is described. The example of cognitive monitoring system is given.
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