Context-aware computing refers to a general class of mobile systems that can sense their physical environment, i.e., their context of use, and adapt their behavior accordingly. Such systems are a component of a ubiquitous computing or pervasive computing environment. Three important aspects of context are: (1) where you are; (2) who you are with; and (3) what resources are nearby. Although location is a primary capability, location-aware does not necessarily capture things of interest that are mobile or changing. Context-aware in contrast is used more generally to include nearby people, devices, lighting, noise level, network availability, and even the social situation; e.g., whether you are with your family or a friend from school.
The “big elephant in the room” in the ongoing CEP dialog is that most of the current (CEP) software on the market is not capable of machine learning and statistical analysis of dynamic real-time situations. Software vendors have been promoting and selling business process automation solutions and calling this approach “CEP” when, in fact, nothing is new. There is certainly no “technology leap” in these systems, as sold today.
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