A quantitative analysis of OS noise
Alessandro Morari, Roberto Gioiosa, et al.
IPDPS 2011
Development of context-aware applications is inherently complex. These applications adapt to changing context information: physical context, computational context, and user context/tasks. Context information is gathered from a variety of sources that differ in the quality of information they produce and that are often failure prone. The pervasive computing community increasingly understands that developing context-aware applications should be supported by adequate context information modelling and reasoning techniques. These techniques reduce the complexity of context-aware applications and improve their maintainability and evolvability. In this paper we discuss the requirements that context modelling and reasoning techniques should meet, including the modelling of a variety of context information types and their relationships, of high-level context abstractions describing real world situations using context information facts, of histories of context information, and of uncertainty of context information. This discussion is followed by a description and comparison of current context modelling and reasoning techniques and a lesson learned from this comparison. © 2009 Elsevier B.V. All rights reserved.
Alessandro Morari, Roberto Gioiosa, et al.
IPDPS 2011
Arun Viswanathan, Nancy Feldman, et al.
IEEE Communications Magazine
Xiaozhu Kang, Hui Zhang, et al.
ICWS 2008
Robert E. Donovan
INTERSPEECH - Eurospeech 2001