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| Subject: | MobileLBSList: Spatio-temporal databases |
| Date: |
09/20/2000 02:48:18 PM |
| From: |
Manoj Sharma |
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Hi,
I am interested in knowing about technology needed for solving a location
based service problem, such as
"Given
1) a list of retailers with their locations,
2) a list of subscribers with information on their current location (which
keeps changing with time, so updates are being received about their current
location, and updates are very frequent),
periodically generate, for each retailer, the list (or rather, the changes
in the list) of subscribers within a 20 feet radius"
(the problem can actually be much more complicated, but for simplicity's
sake, let us go with this one).
I am wondering whether using a spatio-temporal is the right way to go about
solving this problem. Is the spatio-temporal database option supplied by
Oracle, for example, sufficient for building a high performance, scalable
system that can support say, 200,000 or so users and hundreds of retailers?
Oracle uses relational tables to model spatial information, is this the
right way to do this, or is something like a quad-tree structure better
suited for this? Are there high-performance systems that solve this problem
(both commercial and research)? What are they and what kind of data
organization do they use? Also it would be great if someone could give
pointers to research on building high-performance, scalable systems that
solve this problem.
Thanks and regards,
-manoj
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