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Registro Completo |
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Biblioteca(s): |
Embrapa Agricultura Digital. |
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Data corrente: |
30/09/1996 |
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Data da última atualização: |
18/02/2011 |
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Autoria: |
NASCIMENTO, M. A.; EICH, M. H. |
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Afiliação: |
MARIO A. NASCIMENTO, CNPTIA; MARGARET H. EICH, Southern Methodist University. |
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Título: |
An introductory survey to indexing techniques for temporal databases. |
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Ano de publicação: |
1995 |
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Fonte/Imprenta: |
Dallas: Southern Methodist University, 1995. |
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Páginas: |
39 p. |
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Série: |
(Technical Report, 95-CSE-1). |
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Idioma: |
Inglês |
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Conteúdo: |
This report presents a survey on the topic of indexing techniques for temporal databases assuming the relational data model as underlying framework. Temporal databases are to preserve the history of tuples, and hence relations, and therefore tuples are never deleted, but versioned instead. Versioning, on the other hand, makes the databases grow unreasonably, and then some part of the database may be migrated to a lower level, slower but less expensive, storage. We review several indexing techniques that are to provide some means to index such temporal databases and that to some extent cover the issues mentioned, focus is made on the used data structures. A comparison between these techniques is also made. Finally, we present potential data structures aimed to support truly bitemporal database indexing. |
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Palavras-Chave: |
Bases de dados temporais; Indexação de bases de dados; Modelo de dados relacionais; Técnicas de indexação. |
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Thesaurus Nal: |
Databases. |
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Categoria do assunto: |
X Pesquisa, Tecnologia e Engenharia |
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Marc: |
LEADER 01426nam a2200205 a 4500
001 1003671
005 2011-02-18
008 1995 bl uuuu t 00u1 u #d
100 1 $aNASCIMENTO, M. A.
245 $aAn introductory survey to indexing techniques for temporal databases.
260 $aDallas: Southern Methodist University$c1995
300 $a39 p.
490 $a(Technical Report, 95-CSE-1).
520 $aThis report presents a survey on the topic of indexing techniques for temporal databases assuming the relational data model as underlying framework. Temporal databases are to preserve the history of tuples, and hence relations, and therefore tuples are never deleted, but versioned instead. Versioning, on the other hand, makes the databases grow unreasonably, and then some part of the database may be migrated to a lower level, slower but less expensive, storage. We review several indexing techniques that are to provide some means to index such temporal databases and that to some extent cover the issues mentioned, focus is made on the used data structures. A comparison between these techniques is also made. Finally, we present potential data structures aimed to support truly bitemporal database indexing.
650 $aDatabases
653 $aBases de dados temporais
653 $aIndexação de bases de dados
653 $aModelo de dados relacionais
653 $aTécnicas de indexação
700 1 $aEICH, M. H.
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Registro original: |
Embrapa Agricultura Digital (CNPTIA) |
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