Результаты поиска по 'management system':
Найдено статей: 33
  1. Bogdanov A.V., Thurein Kyaw L.
    Query optimization in relational database systems and cloud computing technology
    Computer Research and Modeling, 2015, v. 7, no. 3, pp. 649-655

    Optimization is the heart of relational Database Management System (DMBS). Its can analyzes the SQL statements and determines the most efficient access plan to satisfy every query request. Optimization can solves this problem and analyzes SQL statements specifying which tables and columns are available. And then request the information system and statistical data stored in the system directory, to determine the best method of solving the tasks required to comply with the query requests.

    Keywords: query optimization, cloud computing technology, relational database systems.
    Views (last year): 1.
  2. 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.

    Keywords: puppet, automation of configuration, joint cluster management, puppet use cases.
  3. Ustimenko O.V.
    Features DIRAC data management
    Computer Research and Modeling, 2015, v. 7, no. 3, pp. 741-744

    The report presents an analysis of Big Data storage solutions in different directions. The purpose of this paper is to introduce the technology of Big Data storage, prospects of storage technologies, for example, the software DIRAC. The DIRAC is a software framework for distributed computing.

    The report considers popular storage technologies and lists their limitations. The main problems are the storage of large data, the lack of quality in the processing, scalability, the lack of rapid availability, the lack of implementation of intelligent data retrieval.

    Experimental computing tasks demand a wide range of requirements in terms of CPU usage, data access or memory consumption and unstable profile of resource use for a certain period. The DIRAC Data Management System (DMS), together with the DIRAC Storage Management System (SMS) provides the necessary functionality to execute and control all the activities related with data.

    Keywords: Distributed storage systems, Big Data, software framework, Data transfer service, Data Management System.
    Views (last year): 2.
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