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This article is cited in 2 scientific papers (total in 2 papers)
Monte Carlo based user activity simulation for software performance evaluation
A. V. Borisov, A. V. Bosov, A. V. Ivanov, R. B. Chavtaraev Institute of Informatics Problems, Federal Research Center "Computer Science and
Control" of the Russian Academy of Sciences, 44-2 Vavilov Str., Moscow 119333,
Russian Federation
Abstract:
The methodology of estimation of reliability characteristics of computer networks proposed
earlier is supplemented with a new technique for estimating the software performance metrics. The
proposed technique is based on the Monte-Carlo simulation method. To apply simulation in the task of
analyzing software metrics, the following problems are solved:
($i$) a model of the software component is
defined — a program that implements a three-tier architecture and executes user queries or commands;
($ii$) a model of user's activity is defined — a nonlinear discrete-time stochastic system based on the
autoregressive model with switching using classification of process states;
($iii$) a simulation program is
described that implements the model of user requests, generates the user requests flow, and collects
statistics; and ($i\nu$) numerical examples illustrating the method's applicability are provided. The concluding
remarks contain recommendations concerning further usage of the presented method.
Keywords:
computer networks; software testing tools; user's activity; reliability characteristics; Monte Carlo method; discrete-time stochastic system; autoregression.
Received: 09.01.2018
Citation:
A. V. Borisov, A. V. Bosov, A. V. Ivanov, R. B. Chavtaraev, “Monte Carlo based user activity simulation for software performance evaluation”, Sistemy i Sredstva Inform., 28:2 (2018), 20–33
Linking options:
https://www.mathnet.ru/eng/ssi569 https://www.mathnet.ru/eng/ssi/v28/i2/p20
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Abstract page: | 334 | Full-text PDF : | 135 | References: | 44 |
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