Open AccessSolving data collection tasks in heterogeneous distributed software intensive system using model approach
Author(s) -
Saddam Abbas,
Alexander Vodyaho,
Nataly Zhukova,
Michael Chervontsev
Publication year - 2021
Publication title -
journal of physics. conference series
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.21
H-Index - 85
eISSN - 1742-6596
pISSN - 1742-6588
DOI - 10.1088/1742-6596/1864/1/012082
Subject(s) - computer science , graph , data flow diagram , wait for graph , control flow graph , data collection , software , control flow , theoretical computer science , data flow analysis , distributed computing , data mining , graph database , programming language , database , statistics , mathematics
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.