Abstract
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).
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Notes
- 1.
In partitioned systems, multi-hop communication occurs when a client in one partition has to communicate with a client in another partition.
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Ferreira, P., Alves, P. (2014). Conclusions. In: Distributed Context-Aware Systems. SpringerBriefs in Computer Science. Springer, Cham. https://doi.org/10.1007/978-3-319-04882-6_5
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DOI: https://doi.org/10.1007/978-3-319-04882-6_5
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