On impact-oriented automatic resolution of pervasive context inconsistency

Abstract:Context-awareness is a capability that allows applications in pervasive computing to adapt themselves continuously to changing contexts of their environments. However, contexts from physical environments may be inconsistent. It affects the correctness of these applications. Existing resolution strategies for context in- consistency have diverse adverse impacts on the context- awareness of applications, such as feeding different amounts of contexts to the applications. In this paper, we examine the impacts of inconsistency resolution and study the extent to which their effects on context-awareness can be reduced. We conduct simulation experiments of two pervasive computing applications. The experimental results show that existing inconsistency resolution strategies adversely affect the context-awareness of applications. This motivates the importance of deploying an impact-oriented approach to respect context-awareness in inconsistency resolution.
Grants:GRF 612303
Links:PDF, DOI
Citation:Chang Xu, S.C. Cheung, W.K. Chan, and Chunyang Ye, "On impact-oriented automatic resolution of pervasive context inconsistency", in Proceedings of the 6th joint meeting of the European Software Engineering Conference and the ACM SIGSOFT Symposium on the Foundations of Software Engineering (ESEC/FSE 2007), pages 569-572, (Dubrovnik, Croatia, September 3-7, 2007,) ACM Press, New York, NY, USA (2007). (poster session)
Related Papers:-

Selected Tags

Tag Groups


ACM SigSoft
IEEE Software Engineering Online