Результаты поиска по 'software application':
Найдено статей: 42
  1. Kholodkov K.I., Aleshin I.M.
    Exact calculation of a posteriori probability distribution with distributed computing systems
    Computer Research and Modeling, 2015, v. 7, no. 3, pp. 539-542

    We'd like to present a specific grid infrastructure and web application development and deployment. The purpose of infrastructure and web application is to solve particular geophysical problems that require heavy computational resources. Here we cover technology overview and connector framework internals. The connector framework links problem-specific routines with middleware in a manner that developer of application doesn't have to be aware of any particular grid software. That is, the web application built with this framework acts as an interface between the user 's web browser and Grid's (often very) own middleware.

    Our distributed computing system is built around Gridway metascheduler. The metascheduler is connected to TORQUE resource managers of virtual compute nodes that are being run atop of compute cluster utilizing the virtualization technology. Such approach offers several notable features that are unavailable to bare-metal compute clusters.

    The first application we've integrated with our framework is seismic anisotropic parameters determination by inversion of SKS and converted phases. We've used probabilistic approach to inverse problem solution based on a posteriory probability distribution function (APDF) formalism. To get the exact solution of the problem we have to compute the values of multidimensional function. Within our implementation we used brute-force APDF calculation on rectangular grid across parameter space.

    The result of computation is stored in relational DBMS and then represented in familiar human-readable form. Application provides several instruments to allow analysis of function's shape by computational results: maximum value distribution, 2D cross-sections of APDF, 2D marginals and a few other tools. During the tests we've run the application against both synthetic and observed data.

    Keywords: distributed computing, virtual computing cluster, geophysics.
    Views (last year): 3.
  2. 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.

    Keywords: Cloud technologies, virtual machines, remote sensing data processing, ATLAS TDAQ, middleware.
    Views (last year): 2.
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