On Data Management in Pervasive Computing Environments
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2004-05-31
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Filip Perich, Anupam Joshi, and Yelena Yesha, On Data Management in Pervasive Computing Environments, IEEE Transactions on Knowledge and Data Engineering, 2004, DOI: 10.1109/TKDE.2004.1277823
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© 2004 IEEE
© 2004 IEEE
Abstract
This paper presents a framework to address new data management challenges introduced by data-intensive, pervasive
computing environments. These challenges include a spatio-temporal variation of data and data source availability,
lack of a global catalog and schema, and no guarantee of reconnection among peers due to the serendipitous nature
of the environment. An important aspect of our solution is to treat devices as semi-autonomous peers guided in their
interactions by profiles and context. The profiles are grounded in a semantically rich language and represent information
about users, devices and data described in terms of “beliefs”, “desires”, and “intentions”. We present a prototype
implementation of this framework over combined Bluetooth and Ad-Hoc 802.11 networks, and present experimental
and simulation results that validate our approach and measure system performance.