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.


  • 794909 bytes

BibTeX OWL Tweet Scholar

Article

IEEE

16

5

DOI: https://doi.org/10.1109/TKDE.2004.1277823

Downloads: 5525 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, Tim Finin, and Yelena Yesha",
	title = "{On Data Management in Pervasive Computing Environments}",
	month = "May",
	year = "2004",
	note = "DOI: https://doi.org/10.1109/TKDE.2004.1277823",
	pages = "621 - 634",
	number = "5",
	volume = "16",
	journal = "IEEE Transactions on Knowledge and Data Engineering",
	publisher = "IEEE",
}