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Hot-data identification for flash-memory storage systems not only imposes great impacts on flash-memory garbage collection but also strongly affects the performance of flashmemory access and its life time (due to wear-levelling). In this research, we propose a highly efficient method for online hot-data identification with limited space requirements. Different from the past work, multiple independent hash functions are adopted to reduce the chance of false identification of hot data and providedoi:10.1145/1066677.1066870 dblp:conf/sac/HsiehCK05 fatcat:gmscnmqu75eopoyewtcdopurn4