DocumentCode :
1399281
Title :
Querying the physical world
Author :
Bonnet, Philippe ; Gehrke, Johannes ; Seshadri, Praveen
Author_Institution :
Dept. of Comput. Sci., Cornell Univ., Ithaca, NY, USA
Volume :
7
Issue :
5
fYear :
2000
fDate :
10/1/2000 12:00:00 AM
Firstpage :
10
Lastpage :
15
Abstract :
In the next decade, millions of sensors and small-scale mobile devices will integrate processors, memory, and communication capabilities. Networks of devices will be widely deployed for monitoring applications. In these new applications, users need to query very large collections of devices in an ad hoc manner. Most existing systems rely on a centralized system for collecting device data. These systems lack flexibility because data is extracted in a predefined way. Also, they do not scale to a large number of devices because large volumes of raw data are transferred. In our new concept of a device database system, distributed query execution techniques are applied to leverage the computing capabilities of devices, and to reduce communication. We define an abstraction that allows us to represent a device network as a database and we describe how distributed query processing techniques are applied in this new context
Keywords :
distributed databases; meta data; query processing; COUGAR Device Database Project; centralized system; communication reduction; device data collection; device database system; device networks; distributed query execution techniques; distributed query processing; memory; meta-data management; monitoring applications; physical world querying; processors; sensors; small-scale mobile devices; Data mining; Database systems; Distributed computing; Distributed databases; Embedded computing; Mobile communication; Monitoring; Physics computing; Query processing; Warehousing;
fLanguage :
English
Journal_Title :
Personal Communications, IEEE
Publisher :
ieee
ISSN :
1070-9916
Type :
jour
DOI :
10.1109/98.878531
Filename :
878531
Link To Document :
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