Compared to replication-based storage systems, erasure-coded storage incurs
significantly higher overhead during data updates. To address this issue,
various parity logging methods have been pro- posed. Nevertheless, due to the
long update path and substantial amount of random I/O involved in erasure code
update processes, the resulting long latency and low throughput often fail to
meet the requirements of high performance applications. To this end, we propose
a two-stage data update method called TSUE. TSUE divides the update process
into a synchronous stage that records updates in a data log, and an
asynchronous stage that recycles the log in real-time. TSUE effectively reduces
update latency by transforming random I/O into sequential I/O, and it
significantly reduces recycle overhead by utilizing a three-layer log and the
spatio-temporal locality of access patterns. In SSDs cluster, TSUE
significantly im- proves update performance, achieving improvements of 7.6X
under Ali-Cloud trace, 5X under Ten-Cloud trace, while it also extends the
SSD’s lifespan by up to 13X through reducing the frequencies of reads/writes
and of erase operations.

Este artículo explora los viajes en el tiempo y sus implicaciones.

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