Evaluation method of information models of observed processes in computer network
DOI:
https://doi.org/10.15587/1729-4061.2015.36277Keywords:
approximation, computer network monitoring, controlled process, Windows Management Instrumentation (WMI)Abstract
The problems of remote data collection about the state of various network components always appear during computer network administration. This leads to increased levels of official traffic in communication channels, which may adversely affect the user data transmission quality. One of the ways to solve the problem is an approximation of the processes, observed when computer network monitoring. This method reduces the number of measurement points by replacing the measured values by the approximated ones. For effective approximation, it is important to develop adequate approximation models of the observed processes.
A formalized approach to the evaluation of previously proposed information models of the observed processes in a computer network was developed in the paper. These models describe the behavior of the observed processes in the form of a preselected set of numerical and mathematical characteristics. Using the considered information models allows to form a sufficiently detailed picture of the behavior of the observed processes to select an adequate approximating model. For evaluating models, a method, representing a sequence of steps for the analysis of the observed processes to calculate the parameters of the models was developed. The advantage of the method lies in its adequacy, flexibility, ease of implementation and low computational cost. As a practical example of using the developed method, evaluation of models for the two observed processes in the computer network: the process "established TCP connections" and the process "disk data recording/reading flow rate" was performed. The results show the feasibility of the proposed method.
As a result of the research, it was found that the stages of evaluating the information models can be coordinated with the general network monitoring organization scheme. Weaknesses of the existing rules for estimating the parameters of the models were identified and improved rules were proposed. In particular, the accuracy of estimating the linearity, dynamics and lifetime of the observed processes was improved.
The obtained results allow to approach solving the problem of selecting an effective approximating model for the observed processes in the computer network.
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