| |
| description |
The proliferation of mobile devices and the fact that high-bandwidth
and continuous connectivity is not available everywhere, has led to
the creation of hoarding algorithms that attempt to mitigate the
problems related with disconnected operation and with the operation
in areas where bandwidth is either scarce or expensive. In this
paper, we present a hoarding scheme for location-based data in
semi-structured information spaces, such as the World Wide Web,
which relies on clustering of semantically related data items. We
show by means of experimental evaluation that our clustering-based
approach outperforms existing hoarding techniques that do not make
use of clustering by a factor of more than 2 in terms of hoard cache
hit ratio.
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| publisher |
University of Stuttgart : Collaborative Research Center SFB 627
(Nexus: World Models for Mobile Context-Based
Systems)
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| Sheridan Printing
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| type |
Text
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| Article in Proceedings
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| source |
In: Proceedings of the 4-th ACM International Workshop on Mobility
Management and Wireless Access Protocols (MobiWAC 2006);
Torremolinos, Spain, Oct. 2, 2006, pp. 1-1
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| contributor |
Institut für Parallele und Verteilte Systeme, Verteilte
Systeme
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| subject |
Information Storage and Retrieval (CR H.3)
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