Результаты поиска по 'Data Management System':
Найдено статей: 13
  1. Reed R.G., Cox M.A., Wrigley T., Mellado B.
    A CPU benchmarking characterization of ARM based processors
    Computer Research and Modeling, 2015, v. 7, no. 3, pp. 581-586

    Big science projects are producing data at ever increases rates. Typical techniques involve storing the data to disk, after minor filtering, and then processing it in large computer farms. Data production has reached a point where on-line processing is required in order to filter the data down to manageable sizes. A potential solution involves using low-cost, low-power ARM processors in large arrays to provide massive parallelisation for data stream computing (DSC). The main advantage in using System on Chips (SoCs) is inherent in its design philosophy. SoCs are primarily used in mobile devices and hence consume less power while maintaining relatively good performance. A benchmarking characterisation of three different models of ARM processors will be presented.

    Keywords: High data throughput, Computing, Big Data, ARM System on Chips, Benchmarking.
    Views (last year): 1.
  2. 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.
  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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