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ADC
2004
Springer

An Efficient Method for Indexing Now-relative Bitemporal data

13 years 7 months ago
An Efficient Method for Indexing Now-relative Bitemporal data
Most modern database applications contain a significant amount of time dependent data and a substantial proportion of this data is now-relative, i.e. current now. While much research has focussed on indexing temporal data in general, little work has addressed the indexing of now-relative data, which is a natural and meaningful part of every temporal database as well as being the focus of most queries. This paper proposes a logical query transformation that relies on the POINT representation of current time and the geometrical features of spatial access methods. Logical query transformation enables off-the-shelf spatial indexes to be used. We empirically demonstrate that this method is efficient on now-relative bitemporal data, outperforming a straightforward maximum-timestamp approach by a factor of more than 20, both in number of disk accesses and CPU usage.
Bela Stantic, Sankalp Khanna, John Thornton
Added 20 Aug 2010
Updated 20 Aug 2010
Type Conference
Year 2004
Where ADC
Authors Bela Stantic, Sankalp Khanna, John Thornton
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