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StarTrack: a framework for enabling track-based applications
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International Conference On Mobile Systems, Applications And Services archive
Proceedings of the 7th international conference on Mobile systems, applications, and services table of contents
Kraków, Poland
SESSION: Location table of contents
Pages 207-220  
Year of Publication: 2009
ISBN:978-1-60558-566-6
Authors
Ganesh Ananthanarayanan  University of California, Berkeley, Berkeley, CA, USA
Maya Haridasan  Microsoft Research, Mountain View, CA, USA
Iqbal Mohomed  Microsoft Research, Mountain View, CA, USA
Doug Terry  Microsoft Research, Mountain View, CA, USA
Chandramohan A. Thekkath  Microsoft Research, Mountain View, CA, USA
Sponsors
SIGMOBILE: ACM Special Interest Group on Mobility of Systems, Users, Data and Computing
ACM: Association for Computing Machinery
Publisher
ACM  New York, NY, USA
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ABSTRACT

Mobile devices are increasingly equipped with hardware and software services allowing them to determine their locations, but support for building location-aware applications remains rudimentary. This paper proposes tracks of location coordinates as a high-level abstraction for a new class of mobile applications including ride sharing, location-based collaboration, and health monitoring. Each track is a sequence of entries recording a person's time, location, and application-specific data. StarTrack provides applications with a comprehensive set of operations for recording, comparing, clustering and querying tracks. StarTrack can efficiently operate on thousands of tracks.


REFERENCES

Note: OCR errors may be found in this Reference List extracted from the full text article. ACM has opted to expose the complete List rather than only correct and linked references.

 
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Collaborative Colleagues:
Ganesh Ananthanarayanan: colleagues
Maya Haridasan: colleagues
Iqbal Mohomed: colleagues
Doug Terry: colleagues
Chandramohan A. Thekkath: colleagues