CASPIAN JOURNAL
MANAGEMENT AND HIGH TECHNOLOGIES
Convergent model collection and distributed data processing in systems of energy monitoring
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Read | Kamaev Valeriy A., Finogeev Yegor A., Finogeev Aleksey G., Nefedova Irina S., Finogeev Anton A. Convergent model collection and distributed data processing in systems of energy monitoring // Caspian journal : management and high technologies. — 2015. — №3. — pp. 58-75. |
Kamaev Valeriy A. - D.Sc. (Engineering), Professor, Volgograd State Technical University, 28 Lenin Av., Volgograd, 400131, Russian Federation, Vkamaev40@mail.ru
Finogeev Yegor A. - post-graduate student, Penza State University, 40 Krasnaya St., Penza, 440026, Russian Federation, frzegor@yandex.ru
Finogeev Aleksey G. - D.Sc. (Engineering), Professor, Penza State University, 40 Krasnaya St., Penza, 440026, Russian Federation, alexeyfinogeev@gmail.com
Nefedova Irina S. - post-graduate student, Penza State University, 40 Krasnaya St., Penza, 440026, Russian Federation, nefedya2008@yandex.ru
Finogeev Anton A. - Ph.D. (Engineering), Penza State University, 40 Krasnaya St., Penza, 440026, Russian Federation, fanton3@ya.ru
The questions of development and research of a converging model of the GRID, cloud and fog computing for analytical processing of large volumes of unstructured sensor data (BigSensorData) are considered. The model encouraged to build on the creation of monitoring systems spatially distributed objects energy networks and processes of energy transport and energy. The basic concept of the proposed approach is the convergence models of the organization distributed data processing. The fog computing model is used for the processing, normalization and aggregation of sensor data at the sensor network nodes and/or industrial controllers. GRID or cloud computing model is used for mining aggregates and integral indicators accumulated in the cloud storage dispatching SCADA system. Implementation of the first level model is carried out in a heterogeneous wireless environment including ZigBee sensor network nodes, as well as controllers of instrumentation and control equipment associated with modems cellular networks. The program agents are loading that perform simple computing tasks for the primary processing and data aggregation. The integrated indicators are transferred to the Data Center for accumulation in a multidimensional storage for the purpose of data mining and knowledge discovery of databases in computer clusters scalable virtualized GRID or cloud computing system. Computing cluster has three-tier architecture, which includes the main server at the first level, a cluster of servers SCADA system at the second level, a lot of GPU video card with support for Compute Unified Device Architecture at the third level.
Key words: распределенные вычисления, облачные вычисления, GRID, туманные вычисления, энергетический мониторинг, энергоменеджмент, интеллектуальный анализ данных, беспроводная сенсорная сеть, distributed computing, cloud computing, fog computing, GRID, energy monito