TY - GEN
T1 - Graywulf
T2 - 25th International Conference on Scientific and Statistical Database Management, SSDBM 2013
AU - Dobos, László
AU - Csabai, István
AU - Szalay, Alexander S.
AU - Budavári, Tamás
AU - Li, Nolan
PY - 2013
Y1 - 2013
N2 - Many fields of science rely on relational database management systems to analyze, publish and share data. Since RDBMS are originally designed for, and their development directions are primarily driven by, business use cases they often lack features very important for scientific applications. Horizontal scalability is probably the most important miss- ing feature which makes it challenging to adapt traditional relational database systems to the ever growing data sizes. Due to the limited support of array data types and meta- data management, successful application of RDBMS in science usually requires the development of custom extensions. While some of these extensions are specific to the field of science, the majority of them could easily be generalized and reused in other disciplines. With the Graywulf project we intend to target several goals. We are building a generic platform that offers reusable components for efficient storage, transformation, statistical analysis and presentation of scientific data stored in Microsoft SQL Server. Graywulf also addresses the distributed computational issues arising from current RDBMS technologies. The current version sup- ports load balancing of simple queries and parallel execution of partitioned queries over a set of mirrored databases. Uniform user access to the data is provided through a web based query interface and a data surface for software clients. Queries are formulated in a slightly modified syntax of SQL that offers a transparent view of the distributed data. The software library consists of several components that can be reused to develop complex scientific data warehouses: a sys- tem registry, administration tools to manage entire database server clusters, a sophisticated workflow execution frame- work, and a SQL parser library.
AB - Many fields of science rely on relational database management systems to analyze, publish and share data. Since RDBMS are originally designed for, and their development directions are primarily driven by, business use cases they often lack features very important for scientific applications. Horizontal scalability is probably the most important miss- ing feature which makes it challenging to adapt traditional relational database systems to the ever growing data sizes. Due to the limited support of array data types and meta- data management, successful application of RDBMS in science usually requires the development of custom extensions. While some of these extensions are specific to the field of science, the majority of them could easily be generalized and reused in other disciplines. With the Graywulf project we intend to target several goals. We are building a generic platform that offers reusable components for efficient storage, transformation, statistical analysis and presentation of scientific data stored in Microsoft SQL Server. Graywulf also addresses the distributed computational issues arising from current RDBMS technologies. The current version sup- ports load balancing of simple queries and parallel execution of partitioned queries over a set of mirrored databases. Uniform user access to the data is provided through a web based query interface and a data surface for software clients. Queries are formulated in a slightly modified syntax of SQL that offers a transparent view of the distributed data. The software library consists of several components that can be reused to develop complex scientific data warehouses: a sys- tem registry, administration tools to manage entire database server clusters, a sophisticated workflow execution frame- work, and a SQL parser library.
KW - Management
UR - http://www.scopus.com/inward/record.url?scp=84883015014&partnerID=8YFLogxK
UR - http://www.scopus.com/inward/citedby.url?scp=84883015014&partnerID=8YFLogxK
U2 - 10.1145/2484838.2484863
DO - 10.1145/2484838.2484863
M3 - Conference contribution
AN - SCOPUS:84883015014
SN - 9781450319218
T3 - ACM International Conference Proceeding Series
BT - SSDBM 2013 - Proceedings of the 25th International Conference on Scientific and Statistical Database Management
Y2 - 29 July 2013 through 31 July 2013
ER -