Скачать с ютуб OSDI '23 - Take Out the TraChe: Maximizing (Tra)nsactional Ca(che) Hit Rate в хорошем качестве

OSDI '23 - Take Out the TraChe: Maximizing (Tra)nsactional Ca(che) Hit Rate

OSDI '23 - Take Out the TraChe: Maximizing (Tra)nsactional Ca(che) Hit Rate Audrey Cheng, UC Berkeley, David Chu, UC Berkeley, Terrance Li, UC Berkeley, Jason Chan, UC Berkeley, Natacha Crooks, UC Berkeley, Joseph M. Hellerstein, UC Berkeley, Ion Stoica, UC Berkeley, Xiangyao Yu, University of Wisconsin—Madison Most caching policies focus on increasing object hit rate to improve overall system performance. However, these algorithms are insufficient for transactions. In this work, we define a new metric, transactional hit rate, to capture when caching reduces latency for transactions. We present DeToX, a caching system that leverages transactional dependencies to make eviction and prefetching decisions. DeToX is able to significantly outperform single-object alternatives on real-world workloads and popular OLTP benchmarks, providing up to a 130% increase in transaction hit rate and 3.4x improvement in cache efficiency. View the full OSDI '23 program at https://www.usenix.org/conference/osd...