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

doi:10.3390/mi13010052

	Application-Oriented Data Migration to Accelerate In-Memory Database on Hybrid Memory
	Zhao, Wenze 1; Du, Yajuan 1,2; Zhang, Mingzhe 3; Liu, Mingyang 1; Jin, Kailun 1; Ausavarungnirun, Rachata 1,4
	2022
发表期刊	MICROMACHINES
卷号	13 期号:1 页码:13
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.
关键词	in-memory database hybrid memory data migration
DOI	10.3390/mi13010052
收录类别	SCI
语种	英语
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
WOS类目	Chemistry, Analytical ; Nanoscience & Nanotechnology ; Instruments & Instrumentation ; Physics, Applied
WOS记录号	WOS:000757015000001
出版者	MDPI
引用统计
文献类型	期刊论文
条目标识符	http://119.78.100.204/handle/2XEOYT63/18977
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, Sch Comp & Artificial Intelligence, Wuhan 430070, Peoples R China 2.Wuhan Univ Technol, Shenzhen Res Inst, Shenzhen 518000, 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.