Enhancing applications interoperability in context management for practice tasks

Abstract

Currently, with the emerging of Clouds and Internet Of Things technologies, researches of context-aware applications have extended from individual-smart-space to ubiquitous intelligent environments. A context management system (CMS) is an important component of a context-aware middleware that supports distributed, context-aware applications to obtain context information from pervasive computing environments. Several CMS architecture solutions have been proposed to transparently implement context management and provisioning in the distributed system. This paper is focused on the cross-context in CMSs. As a production of the ubiquitous computing, cross-context is the situation that context sharing in different CMSs influences both the context computing of these CMSs. To solve the cross context, we address the importance of the cross task management and cognitive context query between CMSs. According to our scenario, an architecture is designed to support the interoperability and collaboration between CMSs adaptively. Compared with previous works, the paper defines the cross context to distinguish it from general context sharing, and the architecture combines with both dynamic task modeling and the context searching engine to support scheduling when cross-context happens. In an emergency, the dynamic task modeling is designed for adapting to the human users' urgent requirements or their quick wits in cross-context. And the context searching engine is provided to search the key information for organizing new plans.