Comparisons of three data storage models in parametric temporal databases

Noh, S. Y.; Gadia, Shashi K.; Jang, H.

doi:10.1007/s11771-013-1691-8

Cited by 10 publications

(9 citation statements)

References 12 publications

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“…A study by Noh in [23] has introduced a new platform for modeling temporal database under XML-based platform. He compared the relational model as he named it (which is under TTSRbased approach in our study) with XML-based, and objectoriented based approach.…”

Section: Comparisons Of Memory Storage Cost and Results Analysis Ofmentioning

confidence: 99%

“…A similar study for calculating the efficiency of memory storage has been done by Atya in [2], this study compared the Snodgrass model (which is under TTMR-based approach in our study) with Tansel N1NF relational nested model. A study by Noh in [23] has introduced a new platform for modeling temporal database under XMLbased platform. He compared the relational model as he named it (which is under TTSR-based approach in our study) with XML-based, and object-oriented based approach.…”

Section: Introductionmentioning

confidence: 99%

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A Mathematical Model for Comparing Memory Storage of Three Interval-Based Parametric Temporal Database Models

Alromema¹,

Rahim²,

Albidewi³

2017

ijacsa

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Abstract-Interval-BasedTo this end, a mathematical model for comparing a three different storage models is demonstrated to illustrate that the proposed model is more efficient than other approaches under certain conditions. The simulation results showed that the proposed model overcomes the needless redundancy of data, achieves saving in memory storage, and it is easy to be implemented in relational data model or to be adapted with a production systems that need to track temporal aspects of functioning database Systems.

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Section: Comparisons Of Memory Storage Cost and Results Analysis Ofmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

A Mathematical Model for Comparing Memory Storage of Three Interval-Based Parametric Temporal Database Models

Alromema¹,

Rahim²,

Albidewi³

2017

ijacsa

View full text Add to dashboard Cite

show abstract

“…The approach in [8] presented a database application development environment for both temporal and non-temporal using SQL: 2003 following the attribute timestamping. Comparison of three different storage models (OODB, ORDB, and XML) for the parametric temporal data model and estimate storage costs are discussed in [9].…”

Section: Related Workmentioning

confidence: 99%

Converting UML Class Diagrams into Temporal Object Relational DataBase

Soumiya

Bahaj

2017

IJECE

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Number of active researchers and experts, are engaged to develop and implement new mechanism and features in time varying database management system (TVDBMS), to respond to the recommendation of modern business environment.Time-varying data management has been much taken into consideration with either the attribute or tuple time stamping schema. Our main approach here is to try to offer a better solution to all mentioned limitations of existing works, in order to provide the nonprocedural data definitions, queries of temporal data as complete as possible technical conversion ,that allow to easily realize and share all conceptual details of the UML class specifications, from conception and design point of view. This paper contributes to represent a logical design schema by UML class diagrams, which are handled by stereotypes to express a temporal object relational database with attribute timestamping.

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“…77 database application development environment for both temporal and nontemporal using SQL: 2003 following the attribute timestamping. Comparison of three different storage models (OODB, ORDB, and XML) for the parametric temporal data model and estimate storage costs are discussed in [9].…”

confidence: 99%

Migration of the Temporal RDB into Temporal ORDB including

Bahaj

2017

TMLAI

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This paper proposes an approach for migrating existing relational database (TRDB) according to SQL: 2011 standard into temporal object relational database (TORDB) including Bitemporal data. This is done with methods that can extract various functions from a TRDB, which is based on the different kind of the relationships between tables. To do that we're going to enhance a representation of a varying time database's structure in order to make hidden semantic explicit. In contrast to other studies, our main goal here is to offer a first and better solution to mentioned limits to existing works, in order to provide the efficient method for the translation from TRDB to TORDB. We are going to take an existing RDB with bitemporal data features as input, we provide our metamodel in order to get a correct description of a data structure, enriches its metadata representation, and generates a bitemporal data Model (BTDM), which captures essential characteristics of temporal databases for migration. A prototype has been developed which proves the effectiveness of this solution, and temporal queries has been made with help of Oracle 12C.

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Comparisons of three data storage models in parametric temporal databases

Cited by 10 publications

References 12 publications

A Mathematical Model for Comparing Memory Storage of Three Interval-Based Parametric Temporal Database Models

A Mathematical Model for Comparing Memory Storage of Three Interval-Based Parametric Temporal Database Models

Converting UML Class Diagrams into Temporal Object Relational DataBase

Migration of the Temporal RDB into Temporal ORDB including

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