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This paper advocates the use of random linear network coding for storage in distributed clouds in order to reduce storage and traffic costs in dynamic settings, i.e. when adding and removing numerous storage devices/clouds on-thefly and when the number of reachable clouds is limited. We introduce various network coding approaches that trade-off reliability, storage and traffic costs, and system complexity relying on probabilistic recoding for cloud regeneration. We compare these approaches withdoi:10.1109/iccw.2014.6881204 dblp:conf/icc/FitzekTSPLSCM14 fatcat:yprj7smfobf5ljzs47eoqb7d7m