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Please use this identifier to cite or link to this item: http://hdl.handle.net/1813/7429
Title: Query Processing in a Device Database System
Authors: Bonnet, Philippe
Gehrke, Johannes
Mayr, Tobias
Seshadri, Praveen
Keywords: computer science
technical report
Issue Date: Oct-1999
Publisher: Cornell University
Citation: http://techreports.library.cornell.edu:8081/Dienst/UI/1.0/Display/cul.cs/TR99-1775
Abstract: In the next decade, networks of devices will be widely deployed for measurement, detection and surveillance applications. Millions of sensors and small-scale mobile devices will integrate processors, memory and communication capabilities. Large collections of devices need to be controlled and accessed in an ad-hoc manner. This paper shows that database technology can be adapted to meet the challenges of this new computing environment. In our new concept of a device database system, individual devices are modeled as database objects, which allows us to access collections of devices with declarative queries. We present a semantics for queries over device database systems and novel query processing techniques for evaluating such queries. We describe our implementation of these techniques in the Cornell COUGAR system and present a experimental evaluation that illustrates the performance characteristics of query processing in a device database system.
URI: http://hdl.handle.net/1813/7429
Appears in Collections:Computer Science Technical Reports

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