An NVM SSD-Optimized Query Processing Framework

Xinyu Liu, Yu Liang Pan, Yusen Li, Gang Wang, Xiaoguang Liu · 2020

Commercial search engines generally maintain hundreds of thousands of machines equipped with large sized DRAM in order to process huge volume of user queries with fast responsiveness, which incurs high hardware cost since DRAM is very expensive. Recently, NVM Optane SSD has been considered as a promising underlying storage device due to its price advantage over DRAM and speed advantage over traditional slow block devices. However, to achieve a comparable efficiency performance with in-memory index, applying NVM to both latency and I/O bandwidth critical applications such as search engine still faces non-trivial challenges, because NVM has much lower I/O speed and bandwidth compared to DRAM.

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