Yuanping Li
ABSTRACT
Almost all context-aware systems have two indispensable components - context provider and context consumer. The increased diversity and quantity of context information with the increased handling complexity call for a specific component to transfer context information from context providers to high-level context consumers.
In this paper, we present a the context mapping middleware to bridge the gap between Web service-based context providers and ontology-based context consumers. Its function is to populate the internal context ontology with externally supplied context information as indicated by a context mapping specification language. In order to transfer and write context information correctly and timely in a distributed computing environment, we define and analyze context retrogress, context refresh interval, and context latency under different kinds of mapping execution modes, i.e., (a)synchronous execution of multiple Web service-to-ontology mapping units and (a)synchronous Web service read and ontology write. Our performance study in a real setting shows that asynchronous execution of multiple Web service-to-ontology mapping units and asynchronous Web service read and ontology write can obtain smaller lower bound of context refresh interval; and synchronous execution of multiple mapping units and synchronous read-write can obtain relatively smaller context latency.
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