Efficient on-line identification of hot data for flash-memory management

Jen-Wei Hsieh, Li-Pin Chang, Tei-Wei Kuo
2005 Proceedings of the 2005 ACM symposium on Applied computing - SAC '05  
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 provide
more » ... predictable and excellent performance for hot-data identification. We not only propose an efficient implementation of the proposed framework but also conduct a series of experiments to verify the performance of the proposed method, in which very encouraging results are presented.
doi:10.1145/1066677.1066870 dblp:conf/sac/HsiehCK05 fatcat:gmscnmqu75eopoyewtcdopurn4