PARALLEL OPEN SOURCE DBMS FOR CLUSTER COMPUTING SYSTEMS
DOI:
https://doi.org/10.14529/cmse130306Keywords:
parallel DBMS, big data processing, open sourcesoftware, cluster computing systemsAbstract
The article deals with problem of development open source parallel DBMS for cluster computing systems. The article describes overview of well-known solves in this area. It is considered a new parallel open source DMBS named Omega, which is oriented on cluster computing systems. The article shows the general architecture of system Omega, its deployment and class diagrams. The article describes Omega’s main subsystems and principles of their interaction during query processing.References
Abouzeid, A. HadoopDB: An Architectural Hybrid of MapReduce and DBMS Technologies for Analytical Workloads / A. Abouzeid, K. Bajda-Pawlikowski, D. Abadi, A. Silberschatz, A. Rasin // VLDB’2009, Proceedings of 35th International Conference on
Very Large Data Bases, August 24-28, 2009, Lyon, France. – VLDB Endowment, 2009. – P. 922–933.
Boicea, A. MongoDB vs Oracle – database comparison / A. Boicea, F. Radulescu, L.I.
Agapin // Proceedings of the Third International Conference on Emerging Intelligent Data and Web Technologies, September 19-21, 2012, Bucharst, Romania. – P. 330–335.
Brown, P.G. Overview of sciDB: Large Scale Array Storage, processing and analysis / P.G. Brown // Proceedings of the ACM SIGMOD International Conference on Management of Data, June 6-10, 2010, Indianapolis, Indiana, USA. – ACM, 2010. – P. 963–968.
Hubel, M. Technical Comparison of DB2 and MySQL / M. Hubel – Martin Hubel Consulting Inc., 2004. – 32 p.
Java SE Documentation. URL: http://www.oracle.com/technetwork/java/javase/jdbc/ (дата обращения: 10.03.2013).
Kotowski, N. Parallel query processing for OLAP in grids / N. Kotowski, A.A.B. Lima, E. Pacitti, P. Valduriez, M. Mattoso // Concurrency and Computation: Practice and
Experience, – 2008. – Vol. 20, No. 17. – P. 2039–2048.
Lee, R. Extending PostgreSQL to Support Distributed/Heterogeneous Query Processing / R. Lee, M. Zhou // Proceedings of the 12th International Conference on Database Systems for Advanced Applications, April 9-12, 2007, Bangkok, Thailand. – Proceedings.
Lecture Notes in Computer Science, Springer, 2007. – Vol. 4443. – P. 1086–1097.
MySQL Cluster Information. URL: http://www.mysql.com/products/cluster/resources.html (дата обращения:
03.2013).
Oracle Store. URL: http://shop.oracle.com (дата обращения: 10.03.2013).
Paes, M. High-Performance Query Processing of a Real-World OLAP Database with ParGRES / M. Paes, A.A.B. Lima, P. Valduriez, M. Mattoso // High Performance Computing for Computational Science – VECPAR 2008: 8th International Conference,
June 24-27, 2008, Toulouse, France. – Revised Selected Papers. Springer, 2008. – P. 188–200.
Paulson, L.D. Open Source Databases Move into the Marketplace / L.D. Paulson // Computer, – 2004. – Vol. 37, No. 7. – P. 13–15.
Pavlo, A. Comparison of Approaches to Large Scale Data Analysis / A. Pavlo, A. Rasin, S. Madden, M. Stonebraker, D. DeWitt, E. Paulson, L. Shrinivas, D.J. Abadi // Proceedings of the 2009 ACM SIGMOD International Conference on Management of data,
June 29 – July 2, 2009, Providence, Rhode Island, USA. – ACM, 2009. – P. 165–178.
Press Release EMC2. URL: http://www.emc.com/about/news/press/2012/20121211-01.htm (дата обращения: 10.03.2013).
Ronstrom, M. Recovery Principles in MySQL Cluster 5.1 / M. Ronstrom, J. Oreland // Proceedings of the 31st International Conference onVery Large Data Bases, August 30 – September 2, 2005, Trondheim, Norway. – ACM, 2005. – P. 1108–1115.
Teradata Purpose-Built Platform Pricing. URL: http://www.teradata.com/t/WorkArea/DownloadAsset.aspx?id=4682 (дата обращения: 10.03.2013).
Top500 List. URL: http://www.top500.org (дата обращения: 10.03.2013).
VoltDB Documentation. URL: http://voltdb.com/community/documentation (дата обращения: 10.03.2013).
Кузнецов, С.Д. MapReduce: внутри, снаружи или сбокуот параллельных СУБД? / С.Д. Кузнецов // Труды Института системного программирования РАН. – 2010.– Т. 19. – С. 35–70.
Лепихов, А.В. Обработка запросов в СУБД для кластерных систем / А.В. Лепихов, Л.Б. Соколинский // Программирование. – 2010. – № 4. – С. 25–39.
Пан, К.С. Разработка параллельной СУБД на основе последовательной СУБД PostgreSQL с открытым исходным кодом / К.С. Пан, М.Л. Цымблер // Вестник ЮУрГУ. Серия «Математическое моделирование и программирование». – 2012. – № 18(277). – Вып. 12. – С. 112–120.
