On Data Management in Pervasive Computing Environments

Authors: , Anupam Joshi, Yelena Yesha

Book Title: IEEE Transactions on Knowledge and Data Engineering

Date:

Abstract: This paper presents a framework to address new data management challenges introduced by data-intensive, pervasivecomputing 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 natureof the environment. An important aspect of our solution is to treat devices as semi-autonomous peers guided in theirinteractions by profiles and context. The profiles are grounded in a semantically rich language and represent informationabout users, devices and data described in terms of �beliefs�, �desires�, and �intentions�. We present a prototypeimplementation of this framework over combined Bluetooth and Ad-Hoc 802.11 networks, and present experimentaland simulation results that validate our approach and measure system performance.

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