1995
DOI: 10.1109/69.404027
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Temporal and real-time databases: a survey

Abstract: A temporal database contains time-varying data. In a real-time database transactions have deadlines or timing constraints. In this paper we review the substantial research in these two previously separate areas. First we characterize the time domain; then we investigate temporal and real-time data models. We evaluate temporal and real-time query languages along several dimensions. We examine temporal and real-time DBMS implementation. Finally, we summarize major research accomplishments to date and list severa… Show more

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Cited by 350 publications
(155 citation statements)
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References 159 publications
(87 reference statements)
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“…Currently there is no separation of elements or attributes based on the relative frequency of update. In the situation that some elements (for example) vary at a significantly different rate than other elements, it may prove more efficient to split the schema up into pieces such that elements with similar "rates of change" are together [25,29,32]. This would avoid redundant repetition of elements that do not change as frequently.…”
Section: Resultsmentioning
confidence: 99%
See 1 more Smart Citation
“…Currently there is no separation of elements or attributes based on the relative frequency of update. In the situation that some elements (for example) vary at a significantly different rate than other elements, it may prove more efficient to split the schema up into pieces such that elements with similar "rates of change" are together [25,29,32]. This would avoid redundant repetition of elements that do not change as frequently.…”
Section: Resultsmentioning
confidence: 99%
“…Indeed, that has been the approach taken by many researchers for the relational and object-oriented models [25,29,32]. As we will discuss in detail, that approach inherently introduces difficulties with respect to document validation, data independence, tool support, and standardization.…”
Section: Introductionmentioning
confidence: 99%
“…In StreamAPAS, we develop a stream database which adapts the basis of relational databases and temporal databases [12,13,14] because they are also oriented towards processing ordered data. In contrast to other systems, our system processes both temporal positive tuples and the negative ones in a unitemporal stream model.…”
Section: Resultsmentioning
confidence: 99%
“…Current sensor systems support a basic form of time constraints -data collection frequency as in TAG [Madden et al (2003)] and Cougar [Demers et al (2003)]. It is worthwhile to investigate other timing notions used in temporal, real-time databases [Ozsoyoglu and Snodgrass (1995); Ramamritham (1996);Tansel et al (1994)] and active databases [Chakravarthy et al (1994); Sistla and Wolfson (1995)], and then develop a variety of timing semantics appropriate for distributed sensor environments.…”
Section: Characterization Of Sensor Applications' Requirementsmentioning
confidence: 99%