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作 者:Yunhong JI Wentao HUANG Xuan ZHOU
机构地区:[1]School of Information,Renmin University of China,Beijing 100872,China [2]School of Computing,National University of Singapore,Singapore 117417,Singapore [3]School of Data Science and Engineering,East China Normal University,Shanghai 200062,China
出 处:《Frontiers of Computer Science》2024年第4期215-217,共3页中国计算机科学前沿(英文版)
基 金:grant funded by the Ministry of Education(Singapore)(Title:inPMdb:An in-Persistent Memory Database System,WBS NO:A8000082-00-00);Shanghai Engineering Research Center of Big Data Management.
摘 要:1 Introduction Emerging byte-addressable storage technologies,such as NVM(Non-Volatile Memory),provide a more cost-effective and larger-capacity alternative to DRAM(Dynamic Random Access Memory)[1],presenting new opportunities to address the high cost,limited capacity,and volatility of in-memory key-value(KV)stores.Numerous efforts have been dedicated to redesigning conventional structures on NVM.However,they were challenged by the substantial engineering cost and increased complexity to be integrated into existing systems.Thus,a general framework to apply existing indexes to KV stores on NVM becomes more attractive[2].
分 类 号:TP333[自动化与计算机技术—计算机系统结构]
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