On Data Management in Pervasive Computing Environments

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.

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Document Details

Document Type
Technical Report
Publication Date
Jan 01, 2005
Accession Number
ADA439479

Entities

People

  • Anuparn Joshi
  • Filip Perich
  • Timothy Finin
  • Yelena Yesha

Organizations

  • University of Maryland, Baltimore

Tags

Communities of Interest

  • Autonomy
  • Energy and Power Technologies
  • Materials and Manufacturing Processes

DTIC Thesaurus Topics

  • Computer Programming
  • Computers
  • Data Management
  • Environment
  • Formal Languages
  • Infrastructure
  • Language
  • Mobile Computing
  • Mobile Devices
  • Mobile Phones
  • Network Protocols
  • Simulations
  • Simulators
  • Ubiquitous Computing
  • Wearable Technology
  • Wireless Communications
  • Wireless Networks

Fields of Study

  • Computer science

Readers

  • Computer Networking
  • Distributed Systems and Data Platform Development
  • Economics