Optimized cost effective approach for selection of materialized views in data warehousing

Autores
Ashadevi, B.; Balasubramanian, R.
Año de publicación
2009
Idioma
inglés
Tipo de recurso
artículo
Estado
versión publicada
Descripción
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.
Facultad de Informática
Materia
Ciencias Informáticas
Data warehouse and repository
query processing cost
Nivel de accesibilidad
acceso abierto
Condiciones de uso
http://creativecommons.org/licenses/by-nc/3.0/
Repositorio
SEDICI (UNLP)
Institución
Universidad Nacional de La Plata
OAI Identificador
oai:sedici.unlp.edu.ar:10915/9646

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spelling Optimized cost effective approach for selection of materialized views in data warehousingAshadevi, B.Balasubramanian, R.Ciencias InformáticasData warehouse and repositoryquery processing costA 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.Facultad de Informática2009-04info:eu-repo/semantics/articleinfo:eu-repo/semantics/publishedVersionArticulohttp://purl.org/coar/resource_type/c_6501info:ar-repo/semantics/articuloapplication/pdf21-26http://sedici.unlp.edu.ar/handle/10915/9646enginfo:eu-repo/semantics/altIdentifier/url/http://journal.info.unlp.edu.ar/wp-content/uploads/JCST-Apr09-4.pdfinfo:eu-repo/semantics/altIdentifier/issn/1666-6038info:eu-repo/semantics/openAccesshttp://creativecommons.org/licenses/by-nc/3.0/Creative Commons Attribution-NonCommercial 3.0 Unported (CC BY-NC 3.0)reponame:SEDICI (UNLP)instname:Universidad Nacional de La Platainstacron:UNLP2025-09-29T10:50:44Zoai:sedici.unlp.edu.ar:10915/9646Institucionalhttp://sedici.unlp.edu.ar/Universidad públicaNo correspondehttp://sedici.unlp.edu.ar/oai/snrdalira@sedici.unlp.edu.arArgentinaNo correspondeNo correspondeNo correspondeopendoar:13292025-09-29 10:50:45.199SEDICI (UNLP) - Universidad Nacional de La Platafalse
dc.title.none.fl_str_mv Optimized cost effective approach for selection of materialized views in data warehousing
title Optimized cost effective approach for selection of materialized views in data warehousing
spellingShingle Optimized cost effective approach for selection of materialized views in data warehousing
Ashadevi, B.
Ciencias Informáticas
Data warehouse and repository
query processing cost
title_short Optimized cost effective approach for selection of materialized views in data warehousing
title_full Optimized cost effective approach for selection of materialized views in data warehousing
title_fullStr Optimized cost effective approach for selection of materialized views in data warehousing
title_full_unstemmed Optimized cost effective approach for selection of materialized views in data warehousing
title_sort Optimized cost effective approach for selection of materialized views in data warehousing
dc.creator.none.fl_str_mv Ashadevi, B.
Balasubramanian, R.
author Ashadevi, B.
author_facet Ashadevi, B.
Balasubramanian, R.
author_role author
author2 Balasubramanian, R.
author2_role author
dc.subject.none.fl_str_mv Ciencias Informáticas
Data warehouse and repository
query processing cost
topic Ciencias Informáticas
Data warehouse and repository
query processing cost
dc.description.none.fl_txt_mv 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.
Facultad de Informática
description 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.
publishDate 2009
dc.date.none.fl_str_mv 2009-04
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info:eu-repo/semantics/publishedVersion
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format article
status_str publishedVersion
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dc.language.none.fl_str_mv eng
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dc.rights.none.fl_str_mv info:eu-repo/semantics/openAccess
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eu_rights_str_mv openAccess
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