Dalea: A Persistent Multi-Level Extendible Hashing with Improved Tail Performance

doi:10.1007/s11390-023-2957-8

	Dalea: A Persistent Multi-Level Extendible Hashing with Improved Tail Performance
	Xiong, Zi-Wei 1,2; Jiang, De-Jun 1,2; Xiong, Jin 1,2; Ren, Ren 3
	2023-09-01
发表期刊	JOURNAL OF COMPUTER SCIENCE AND TECHNOLOGY
ISSN	1000-9000
卷号	38 期号:5 页码:1051-1073
摘要	Persistent memory (PM) promises byte-addressability, large capacity, and durability. Main memory systems, such as key-value stores and in-memory databases, benefit from such features of PM. Due to the great popularity of hashing index in main memory systems, a number of research efforts are made to provide high average performance persistent hashing. However, suboptimal tail performance in terms of tail throughput and tail latency is still observed for existing persistent hashing. In this paper, we analyze major sources of suboptimal tail performance from key design issues of persistent hashing. We identify the global hash structure and concurrency control as remaining explorable design spaces for improving tail performance. We propose Directory-sharing Multi-level Extendible Hashing (Dalea) for PM. Dalea designs ancestor link-based extendible hashing as well as fine-grained transient lock to address the two main sources (rehashing and locking) affecting tail performance. The evaluation results show that, compared with state-of-the-art persistent hashing Dash, Dalea achieves increased tail throughput by 4.1x and reduced tail latency by 5.4x. Moreover, in order to provide design guidelines for improving tail performance, we adopt Dalea as a testbed to identify different impacts of four factors on tail performance, including fine-grained rehashing, transient locking, memory pre-allocation, and fingerprinting.
关键词	persistent memory persistent hashing indexing structure
DOI	10.1007/s11390-023-2957-8
收录类别	SCI
语种	英语
资助项目	Strategic Priority Research Program of the Chinese Academy of Sciences[XDB44030200] ; Beijing Natural Science Foundation-Haidian Joint Fund for Original Innovation[L192038]
WOS研究方向	Computer Science
WOS类目	Computer Science, Hardware & Architecture ; Computer Science, Software Engineering
WOS记录号	WOS:001114345700003
出版者	SPRINGER SINGAPORE PTE LTD
引用统计
文献类型	期刊论文
条目标识符	http://119.78.100.204/handle/2XEOYT63/38466
专题	中国科学院计算技术研究所期刊论文_英文
通讯作者	Jiang, De-Jun
作者单位	1.Chinese Acad Sci, Inst Comp Technol, Ctr Adv Comp Syst, Beijing 100190, Peoples R China 2.Univ Chinese Acad Sci, Beijing 101408, Peoples R China 3.Huawei Technol Co Ltd, Shanghai 201206, Peoples R China
推荐引用方式 GB/T 7714	Xiong, Zi-Wei,Jiang, De-Jun,Xiong, Jin,et al. Dalea: A Persistent Multi-Level Extendible Hashing with Improved Tail Performance[J]. JOURNAL OF COMPUTER SCIENCE AND TECHNOLOGY,2023,38(5):1051-1073.
APA	Xiong, Zi-Wei,Jiang, De-Jun,Xiong, Jin,&Ren, Ren.(2023).Dalea: A Persistent Multi-Level Extendible Hashing with Improved Tail Performance.JOURNAL OF COMPUTER SCIENCE AND TECHNOLOGY,38(5),1051-1073.
MLA	Xiong, Zi-Wei,et al."Dalea: A Persistent Multi-Level Extendible Hashing with Improved Tail Performance".JOURNAL OF COMPUTER SCIENCE AND TECHNOLOGY 38.5(2023):1051-1073.