一种智能手机上下文信息获取的代价模型及其应用

随着信息技术的发展和应用需求的增长,智能手机中嵌入了各种传感器和网络接口,它们是获取上下文信息,进而构建智能型移动应用的关键。尽管在智能手机中获取上下文信息的代价很大,但是这种代价却通常被移动应用开发者所忽视。提出了一个上下文信息获取的代价模型,它能对上下文信息获取的代价进行度量。设计并实现了一个上下文信息获取代价模型的测量工具CRCTest,并对Android智能手机的代价模型进行了测量。基于测量得到的Android平台上下文信息获取的代价模型实现了一个应用实例,通过对比两种位置上下文信息生成方式的代价,说明了基于代价模型优化设计上下文获取的可行性。

Context Retrieval Cost Model on Smartphones and its Application

With the development of technology and increase of application requirements,a lot of sensors and network interfaces have been embedded in smartphones,which are a key contributor in acquiring context information and building smart mobile applications.Although the context retrieval cost on smartphone is significant,it is usually ignored by mobile application developers.This paper proposed a context retrieval cost model to analyze the cost of context information retrieval.We designed and implemented a context-retrieval-cost measuring tool,CRCTest,and measured the context retrieval cost model on an Android smartphone.Based on the measured cost model,we implemented an example application,and conducted some experiments to compare the cost of two approaches to acquiring location context.The result shows that it is feasible to optimize the context retrieval cost with the proposed context retrieval cost model.