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Rethinking Context for Pervasive Computing: Adaptive Shared Perspectives

机译:普遍计算的重新思考语境:自适应共享视角

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Mobile and pervasive computing applications depend on environmental awareness, not just of their own local system and immediate surroundings, but increasingly of the net work as a whole. Traditional models of context do not sufficiently account for the trade-off between accuracy, availability, and efficiency when considering the mechanisms by which context can be gathered and shared in mobile, ad-hoc networks. Traditional approaches to context remain egocentric, but next generation environments demand coordination among entities and access to shared context resources, and thus context must be treated as a combination of local and shared information. We motivate our perspective on the future of context in mobile pervasive environments staring with historical framing of the problem, and present our recent efforts in adaptive shared context perspectives.
机译:移动和普遍的计算应用程序取决于环境意识,而不仅仅是他们自己的本地系统和即时环境,而且越来越多地成为整个网络。在考虑在移动,ad-hoc网络中可以收集和共享的机制,在准确性,可用性和效率之间,传统的上下文效果不充分占权衡。上下文的传统方法仍然是Enocentric,而是下一代环境在实体之间需要协调并访问共享上下文资源,因此必须将上下文视为本地和共享信息的组合。我们在移动普遍存在环境中的未来与历史框架的背景下的未来的观点激励了我们的历史框架,并展示了我们最近在自适应共享的上下文角度的努力。

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