Implementation of big data processing on symmetric multiprocessing systems
- 1 к.т.н., доцент, кафедра информатики, Смоленский государственный университет
Abstract
Implementation of processing big data for symmetric multiprocessing computing systems is considered. Implementation of processing big data for symmetric multiprocessing computing systems is considered. Different data models used to describe data and operations. Shows how it can be implemented parallel data processing based on these models. Experimental results that confirm the effectiveness of the proposed approach to the implementation of parallel DBMS are presented.
How to cite
Мунерман В.И. Реализация обработки больших объемов данных на симметричных мультипроцессорных системах // Системы высокой доступности. 2013. № 2. С. 36–39.
References
- http://www.oracle.com/us/products/database/exadata-database-machine/index.html.
- http://citforum.ru/seminars/cbd2011/.
- Eaton C., DeRoos D., Deutsch T., Lapis G., Zikopoulos P. Understanding Big Data. Analytics for Enterprise Class Hadoop and Streaming Data. - FREE ebook.
- Stonebraker M., Abadi D., Dawitt D.J., Madden S., Paulson E., Pavlo A., Rasin A. MapReduce and Parallel DBMSs: Friends or Foes - // Communications of the ACM. January 2010. V. 53. № 1.
- http://citforum.ru/database/articles/mr_vs_dbms-2/#translator
- Siniczy'n I.N., Shalamov A.S. Lekczii po teorii sistem integrirovannoj logisticheskoj podderzhki. M.: TORUS PRESS. 2012. S. 624.ISBN 978-5-94588-106-8.
- Levin N.A., Munerman V.I. Metod logicheski posledovatel'nogo dostupa k danny'm // Sistemy' vy'sokoj dostupnosti. 2011. № 4. t. 7. S. 65-67.
- Munerman V.I. Mnogomerno matrichnaya model' massovoj obrabotki danny'x // Sistemy' vy'sokoj dostupnosti. 2012. № 3. T. 8. S. 19-22.