Результаты поиска по 'clustering':
Найдено статей: 53
  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.

    Views (last year): 3.
  2. Bondyakov A.S.
    Basic directions of information technology in National Academy of Sciences of Azerbaijan
    Computer Research and Modeling, 2015, v. 7, no. 3, pp. 657-660

    Grid is a new type of computing infrastructure, is intensively developed in today world of information technologies. Grid provides global integration of information and computing resources. The essence Conception of GRID in Azerbaijan is to create a set of standardized services to provide a reliable, compatible, inexpensive and secure access to geographically distributed high-tech information and computing resources a separate computer, cluster and supercomputing centers, information storage, networks, scientific tools etc.

    Views (last year): 6. Citations: 1 (RSCI).
  3. Tkachenko I.A.
    Experience of puppet usage for managment of Tier-1 GRID cluster at NRC “Kurchatov Institute”
    Computer Research and Modeling, 2015, v. 7, no. 3, pp. 735-740

    This article is about the organization of the cluster management using puppet. It tells about: safety of usage, from the point of view of mass apply at a computing cluster wrong configuration (by reason of human factor); collaboration work and the creation of opportunities for each cluster administrator, regardless of others, writing and debugging your own scripts, before include them in the overall system of cluster managment; writing scripts, which allow to get as fully configured nodes, and updates the configuration of any system parts, without affecting the rest of the nodes components, regardless of the current state of the node of computing cluster.

    The article compares different methods of the creation of the hierarchy of puppet scenarios, describes problems associated with the use of “include” for the organization hierarchy, and tells about the transition to a system of sequential call classes through shell-script.

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International Interdisciplinary Conference "Mathematics. Computing. Education"