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dc.date.accessioned 2009-05-18T18:14:13Z
dc.date.available 2009-05-18T03:00:00Z
dc.date.issued 2009-04
dc.identifier.uri http://sedici.unlp.edu.ar/handle/10915/9646
dc.description.abstract A data warehouse efficiently processes a given set of queries by utilizing the multiple materialized views. Owing to the constraint on space and maintenance cost, the materialization of all views is unfeasible. One of the critical decisions involved in the process of designing a data warehouse for optimal efficiency, is the materialized views selection. The primary goal of data warehousing is to select a suitable set of views that minimizes the total cost associated with the materialized views. In this paper, we have presented a framework, an optimized version of our previous work, for the selection of views to materialize, for a given storage space constraints, which intends to achieve the best combination of good query response, low query processing cost and low view maintenance cost. All the cost metrics associated with the materialized views selection that comprise the query execution frequencies, base-relation update frequencies, query access costs, view maintenance costs and the system's storage space constraints are considered by this framework. This framework optimizes the maintenance, storage and query processing cost as it selects the most cost effective views to materialize. Thus, an efficient data warehousing system is the outcome. en
dc.format.extent 21-26 es
dc.language en es
dc.subject Data warehouse and repository es
dc.subject query processing cost en
dc.title Optimized cost effective approach for selection of materialized views in data warehousing en
dc.type Articulo es
sedici.identifier.uri http://journal.info.unlp.edu.ar/wp-content/uploads/JCST-Apr09-4.pdf es
sedici.identifier.issn 1666-6038 es
sedici.creator.person Ashadevi, B. es
sedici.creator.person Balasubramanian, R. es
sedici.subject.materias Ciencias Informáticas es
sedici.description.fulltext true es
mods.originInfo.place Facultad de Informática es
sedici.subtype Articulo es
sedici.rights.license Creative Commons Attribution-NonCommercial 3.0 Unported (CC BY-NC 3.0)
sedici.rights.uri http://creativecommons.org/licenses/by-nc/3.0/
sedici.description.peerReview peer-review es
sedici2003.identifier ARG-UNLP-ART-0000000853 es
sedici.relation.journalTitle Journal of Computer Science & Technology es
sedici.relation.journalVolumeAndIssue vol. 9, no. 1 es


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Creative Commons Attribution-NonCommercial 3.0 Unported (CC BY-NC 3.0) Excepto donde se diga explícitamente, este item se publica bajo la siguiente licencia Creative Commons Attribution-NonCommercial 3.0 Unported (CC BY-NC 3.0)