Abstract: Highlights•The K-prototype and naive-Bayes-based text-analysis algorithms to cluster files during the data archival stage is proposed.•A recommendation system to favor popular data over non-popular ones during the course of data reconstruction.•Real-world traces to evaluate the performance of the POST system is replayed.
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