StarTrack: a framework for enabling track-based applications

Authors:
Ganesh Ananthanarayanan;Maya Haridasan;Iqbal Mohomed;Doug Terry;Chandramohan A. Thekkath
Affiliations:
University of California, Berkeley, Berkeley, CA, USA;Microsoft Research, Mountain View, CA, USA;Microsoft Research, Mountain View, CA, USA;Microsoft Research, Mountain View, CA, USA;Microsoft Research, Mountain View, CA, USA
Venue:
Proceedings of the 7th international conference on Mobile systems, applications, and services
Year:
2009

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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.