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This chapter concludes the book by summarizing the main challenges faced by developers of distributed context-aware systems regarding scalability and privacy: (i) efficient and scalable context propagation and (ii) privacy control. The concept of aggregation appears as a result of the inference step, which effectively aggregates raw sensed data into high-level context information, and also appears as an option in push-based systems with delayed updates—since there is a delay, accumulated context data can be aggregated before it is transmitted. Although in different times on the context life cycle, these two types of aggregation achieve the same two important results: reduce the volume of information (an efficient solution to propagation of large volumes of information) and transform information (a practical solution to many privacy problems).
KeywordsContext Information Virtual Sensor Proxy Cache Privacy Control Inference Step
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