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Emerging large-scale scientific applications require to access large data objects in high and robust performance. We propose RobuSTore, a storage architecture that combines erasure codes and speculative access mechanisms for parallel write and read in distributed environments. The mechanisms can effectively aggregate the bandwidth from a large number of distributed disks and statistically tolerate pear-disk performance variation. Our simulation results affirm the high and robust performance of
doi:10.1145/1362622.1362682
dblp:conf/sc/XiaC07
fatcat:ukojijue75bm7plahfvdioonf4