https://scholars.lib.ntu.edu.tw/handle/123456789/634446
標題: | Pipette: Efficient Fine-Grained Reads for SSDs | 作者: | Bai, Shuhan Wan, Hu Huang, Yun Sun, Xuan Wu, Fei Xie, Changsheng Hsieh, Hung Chih TEI-WEI KUO Xue, Chun Jason |
關鍵字: | file system | fine-grained reads | Memory management | Merging | Parallel processing | Performance evaluation | Random access memory | Recommender systems | solid-state drive | Throughput | 公開日期: | 1-一月-2023 | 來源出版物: | IEEE Transactions on Computer-Aided Design of Integrated Circuits and Systems | 摘要: | Big data applications, such as recommendation system and social network, often generate a huge number of fine-grained reads to the storage. Block-oriented storage devices upon the traditional storage system rely on the paging mechanism to migrate pages to the host DRAM, tending to suffer from these fine-grained read operations in terms of I/O traffic as well as performance. Motivated by this challenge, an efficient fine-grained read framework, Pipette, is proposed in this paper as an extension to the traditional I/O framework. With adaptive design for caching, merging and scheduling, Pipette explores locality and acceleration for fine-grained read requests to establish an efficient byte-granular read path upon the dedicated byte-addressable interface. When the Pipette prototype on an SSD runs popular workloads, we measured throughput gains by up to 50% and 54% with traffic reduction in the range of 41.3× and 56.5×. |
URI: | https://scholars.lib.ntu.edu.tw/handle/123456789/634446 | ISSN: | 02780070 | DOI: | 10.1109/TCAD.2023.3276520 |
顯示於: | 資訊工程學系 |
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