Managing Quality of Context in Pervasive Computing

  • Authors:
  • Yingyi Bu;Tao Gu;Xianping Tao;Jun Li;Shaxun Chen;Jian Lu

  • Affiliations:
  • Nanjing University, China;Institute for Infocomm Research, Singapore;Nanjing University, China;Nanjing University, China;Nanjing University, China;Nanjing University, China

  • Venue:
  • QSIC '06 Proceedings of the Sixth International Conference on Quality Software
  • Year:
  • 2006

Quantified Score

Hi-index 0.00

Visualization

Abstract

Context-awareness plays a key role in a paradigm shift from traditional desktop styled computing to emerging pervasive computing. Many context-aware systems have been built to achieve the vision of pervasive computing and alleviate the human attention bottleneck; however, these systems are far from real world applications. Quality of context is critical in reducing the gap between existing systems and real-life applications. Aiming to provide the support of quality of context, in this paper, we propose a novel quality model for context information and a context management mechanism for inconsistency resolution. We also build a prototype system to validate our proposed model and mechanism, and to assist the development of contextaware applications. Through our evaluations and case study, context-aware applications can be built with the support of quality of context.