F.H.U. Frank (The Netherlands)
Modeling and Simulation Method, Consumer Archiving, Data Availability, Distribution Architecture, Long Term Evolution, Storage.
Distributed systems form the underlying architecture of consumer's Ambient Intelligence at 'home' and 'away'. Besides the bare performance, other use values are of relevance. In case of consumer content storage the data availability and the underlying effort and care have to be considered, with consumer's lifetime as range of analysis. A new method is presented, which uses Fuzzy logic for semi-quantification, being the delivery of qualitative re sults by certain quantification means. Technology projec tions on storage capacity and cost are applied. Some re sults are presented as examples: Removable media may lead to high human effort & care among 'living archive' solutions. Effective consumer storage can be realized by combining a 'centralized' home archive with a set of dis tributed archival-data-proxy's, the latter with a certain level of 'concentration' by 'specialization' according to occasions of use. An important aspect will be the trade-off between central home server solutions and personalized storage services in the Internet.
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