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Application-Oriented Data Migration to Accelerate In-Memory Database on Hybrid Memory

文献类型：期刊论文

作者Zhao, Wenze2; Du, Yajuan1,2; Zhang, Mingzhe3; Liu, Mingyang2; Jin, Kailun2; Ausavarungnirun, Rachata2,4
刊名MICROMACHINES
出版日期2022
卷号13期号:1页码:13
关键词in-memory database hybrid memory data migration
DOI10.3390/mi13010052
英文摘要With the advantage of faster data access than traditional disks, in-memory database systems, such as Redis and Memcached, have been widely applied in data centers and embedded systems. The performance of in-memory database greatly depends on the access speed of memory. With the requirement of high bandwidth and low energy, die-stacked memory (e.g., High Bandwidth Memory (HBM)) has been developed to extend the channel number and width. However, the capacity of die-stacked memory is limited due to the interposer challenge. Thus, hybrid memory system with traditional Dynamic Random Access Memory (DRAM) and die-stacked memory emerges. Existing works have proposed to place and manage data on hybrid memory architecture in the view of hardware. This paper considers to manage in-memory database data in hybrid memory in the view of application. We first perform a preliminary study on the hotness distribution of client requests on Redis. From the results, we observe that most requests happen on a small portion of data objects in in-memory database. Then, we propose the Application-oriented Data Migration called ADM to accelerate in-memory database on hybrid memory. We design a hotness management method and two migration policies to migrate data into or out of HBM. We take Redis under comprehensive benchmarks as a case study for the proposed method. Through the experimental results, it is verified that our proposed method can effectively gain performance improvement and reduce energy consumption compared with existing Redis database.
资助项目National Natural Science Foundation of China[61802287] ; State Key Laboratory of Computer Architecture (ICT, CAS)[CARCH201903] ; Shenzhen Fundamental Research Program[JCYJ20210324122406017]
WOS研究方向Chemistry ; Science & Technology - Other Topics ; Instruments & Instrumentation ; Physics
语种英语
出版者MDPI
WOS记录号WOS:000757015000001
源URL[http://119.78.100.204/handle/2XEOYT63/18976]  
专题中国科学院计算技术研究所期刊论文_英文
通讯作者Du, Yajuan
作者单位1.Wuhan Univ Technol, Shenzhen Res Inst, Shenzhen 518000, Peoples R China
2.Wuhan Univ Technol, Sch Comp & Artificial Intelligence, Wuhan 430070, Peoples R China
3.Chinese Acad Sci, Inst Comp Technol, Beijing 100190, Peoples R China
4.King Mongkuts Univ Technol North Bangkok KMUTNB, Sirindhorn Int Thai German Grad Sch Engn, Bangkok 10800, Thailand
推荐引用方式
GB/T 7714		 Zhao, Wenze,Du, Yajuan,Zhang, Mingzhe,et al. Application-Oriented Data Migration to Accelerate In-Memory Database on Hybrid Memory[J]. MICROMACHINES,2022,13(1):13.
APA Zhao, Wenze,Du, Yajuan,Zhang, Mingzhe,Liu, Mingyang,Jin, Kailun,&Ausavarungnirun, Rachata.(2022).Application-Oriented Data Migration to Accelerate In-Memory Database on Hybrid Memory.MICROMACHINES,13(1),13.
MLA Zhao, Wenze,et al."Application-Oriented Data Migration to Accelerate In-Memory Database on Hybrid Memory".MICROMACHINES 13.1(2022):13.

入库方式： OAI收割

来源：计算技术研究所

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