Результаты поиска по 'monitoring':
Найдено статей: 25
  1. Govorkov D.A., Novikov V.P., Solovyev I.G., Tsibulsky V.R.
    Interval analysis of vegetation cover dynamics
    Computer Research and Modeling, 2020, v. 12, no. 5, pp. 1191-1205

    In the development of the previously obtained result on modeling the dynamics of vegetation cover, due to variations in the temperature background, a new scheme for the interval analysis of the dynamics of floristic images of formations is presented in the case when the parameter of the response rate of the model of the dynamics of each counting plant species is set by the interval of scatter of its possible values. The detailed description of the functional parameters of macromodels of biodiversity, desired in fundamental research, taking into account the essential reasons for the observed evolutionary processes, may turn out to be a problematic task. The use of more reliable interval estimates of the variability of functional parameters “bypasses” the problem of uncertainty in the primary assessment of the evolution of the phyto-resource potential of the developed controlled territories. The solutions obtained preserve not only a qualitative picture of the dynamics of species diversity, but also give a rigorous, within the framework of the initial assumptions, a quantitative assessment of the degree of presence of each plant species. The practical significance of two-sided estimation schemes based on the construction of equations for the upper and lower boundaries of the trajectories of the scatter of solutions depends on the conditions and measure of proportional correspondence of the intervals of scatter of the initial parameters with the intervals of scatter of solutions. For dynamic systems, the desired proportionality is not always ensured. The given examples demonstrate the acceptable accuracy of interval estimation of evolutionary processes. It is important to note that the constructions of the estimating equations generate vanishing intervals of scatter of solutions for quasi-constant temperature perturbations of the system. In other words, the trajectories of stationary temperature states of the vegetation cover are not roughened by the proposed interval estimation scheme. The rigor of the result of interval estimation of the species composition of the vegetation cover of formations can become a determining factor when choosing a method in the problems of analyzing the dynamics of species diversity and the plant potential of territorial systems of resource-ecological monitoring. The possibilities of the proposed approach are illustrated by geoinformation images of the computational analysis of the dynamics of the vegetation cover of the Yamal Peninsula and by the graphs of the retro-perspective analysis of the floristic variability of the formations of the landscapelithological group “Upper” based on the data of the summer temperature background of the Salehard weather station from 2010 to 1935. The developed indicators of floristic variability and the given graphs characterize the dynamics of species diversity, both on average and individually in the form of intervals of possible states for each species of plant.

  2. Dmitrienko P.V.
    Methods of evaluating the effectiveness of systems for computing resources monitoring
    Computer Research and Modeling, 2012, v. 4, no. 3, pp. 661-668

    This article discusses the contribution of computing resources monitoring system to the work of a distributed computing system. Method of evaluation of this contribution and performance monitoring system based on measures of certainty the state-controlled system is proposed. The application of this methodology in the design and development of local monitoring of the Central Information and Computing Complex, Joint Institute for Nuclear Research is listed.

    Views (last year): 2. Citations: 2 (RSCI).
  3. Iakushkin O.O., Grishkin V.M.
    Visualization of work of a distributed application based on the mqcloud library
    Computer Research and Modeling, 2015, v. 7, no. 3, pp. 529-532

    Independent components communicating with each other due to complex control make the work of complex distributed computer systems poorly scalable within the framework of the existing communication middleware. Two major problems of such systems' scaling can be defined: overloading of unequal nodes due to proportional redistribution of workload and difficulties in the realization of continuous communication between several nodes of the system. This paper is focused on the developed solution enabling visualization of the work of such a dynamical system.

    Citations: 1 (RSCI).
  4. Kazymov A.I., Kotov V.M., Mineev M.A., Russakovich N.A., Yakovlev A.V.
    Using CERN cloud technologies for the further ATLAS TDAQ software development and for its application for the remote sensing data processing in the space monitoring tasks
    Computer Research and Modeling, 2015, v. 7, no. 3, pp. 683-689

    The CERN cloud technologies (the CernVM project) give a new possibility for the software developers. The participation of the JINR ATLAS TDAQ working group in the software development for distributed data acquisition and processing system (TDAQ) of the ATLAS experiment (CERN) involves the work in the condition of the dynamically developing system and its infrastructure. The CERN cloud technologies, especially CernVM, provide the most effective access as to the TDAQ software as to the third-part software used in ATLAS. The access to the Scientific Linux environment is provided by CernVM virtual machines and the access software repository — by CernVM-FS. The problem of the functioning of the TDAQ middleware in the CernVM environment was studied in this work. The CernVM usage is illustrated on three examples: the development of the packages Event Dump and Webemon, and the adaptation of the data quality auto checking system of the ATLAS TDAQ (Data Quality Monitoring Framework) for the radar data assessment.

    Views (last year): 2.
  5. Korenkov V.V., Nechaevskiy A.V., Ososkov G.A., Pryahina D.I., Trofimov V.V., Uzhinskiy A.V.
    Synthesis of the simulation and monitoring processes for the development of big data storage and processing facilities in physical experiments
    Computer Research and Modeling, 2015, v. 7, no. 3, pp. 691-698

    The paper presents a new grid and cloud services simulation system. This system is developed in LIT JINR, Dubna, and it is aimed at improving the efficiency of the grid-cloud systems development by using work quality indicators of some real system to design and predict its evolution. For these purpose, simulation program is combined with real monitoring system of the grid-cloud service through a special database. The paper provides an example of the program usage to simulate a sufficiently general cloud structure, which can be used for more common purposes.

    Views (last year): 4. Citations: 6 (RSCI).
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