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An increasing amount of data is being stored on mobile devices with growing storage capacity and functional specializations. As a result, searching through a user's distributed data set effectively is crucial. Previous search architectures tuned for single, stationary devices are not effective at managing the challenges associated with querying data across heterogeneous machines. These designs do not consider the complex set of constraints and challenges in the distributed search domain. The authors propose a distributed architecture, DSearch, to manage the complexities of a mobile data set to improve query performance across all the devices in a user's personal area network.
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