IEEE Transactions on Knowledge and Data Engineering

On Data Management in Pervasive Computing Environments

, , and

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.


  • 195989 bytes

BibTeX OWL Tweet Scholar

Article

Downloads: 5420 downloads

Google Scholar Citations: 82 citations

UMBC ebiquity

Past Projects

  1. MoGATU: Data Management in Pervasive Computing Environments

Bibtex Entry:

@Article{On_Data_Management_in_Pervasive_Computing_Environments,
	author = "Filip Perich, Anupam Joshi, and Yelena Yesha",
	title = "{On Data Management in Pervasive Computing Environments}",
	month = "May",
	year = "2004",
	journal = "IEEE Transactions on Knowledge and Data Engineering",
}