Distributed Hash Tables (DHT) provide a framework for managing information in a large distributed network of nodes. One of the main challenges DHT systems must face is node churn, i.e., nodes can arrive and depart at any time. To assure that information published in a DHT remains available despite node churn is equivalent to building a reliable system out of unreliable components.
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Carra et al. (2007) studied this question.