Fast data series indexing for in-memory data

doi:10.1007/s00778-021-00677-2

	Fast data series indexing for in-memory data
	Peng, Botao 1; Fatourou, Panagiota 2; Palpanas, Themis 3,4
	2021-06-18
发表期刊	VLDB JOURNAL
ISSN	1066-8888
页码	27
摘要	Data series similarity search is a core operation for several data series analysis applications across many different domains. However, the state-of-the-art techniques fail to deliver the time performance required for interactive exploration, or analysis of large data series collections. In this work, we propose MESSI, the first data series index designed for in-memory operation on modern hardware. Our index takes advantage of the modern hardware parallelization opportunities (i.e., SIMD instructions, multi-socket and multi-core architectures), in order to accelerate both index construction and similarity search processing times. Moreover, it benefits from a careful design in the setup and coordination of the parallel workers and data structures, so that it maximizes its performance for in-memory operations. MESSI supports similarity search using both the Euclidean and dynamic time warping (DTW) distances. Our experiments with synthetic and real datasets demonstrate that overall MESSI is up to 4x faster at index construction and up to 11x faster at query answering than the state-of-the-art parallel approach. MESSI is the first to answer exact similarity search queries on 100GB datasets in similar to 50 ms (30-75 ms across diverse datasets), which enables real-time, interactive data exploration on very large data series collections.
关键词	Data series Indexing Modern hardware
DOI	10.1007/s00778-021-00677-2
收录类别	SCI
语种	英语
资助项目	Investir l'Avenir, Univ. of Paris IDEX Emergence en Recherche[ANR-18-IDEX-000] ; CSC ; FMJH PGMO ; EDF ; Thales ; HIPEAC4
WOS研究方向	Computer Science
WOS类目	Computer Science, Hardware & Architecture ; Computer Science, Information Systems
WOS记录号	WOS:000662809500001
出版者	SPRINGER
引用统计	被引频次：12[WOS] [WOS记录] [WOS相关记录]
文献类型	期刊论文
条目标识符	http://119.78.100.204/handle/2XEOYT63/17648
专题	中国科学院计算技术研究所期刊论文_英文
通讯作者	Peng, Botao
作者单位	1.Chinese Acad Sci, Inst Comp Technol, Beijing, Peoples R China 2.FORTH ICS, Iraklion, Greece 3.Univ Paris, LIPADE, Paris, France 4.French Univ Inst IUF, Paris, France
推荐引用方式 GB/T 7714	Peng, Botao,Fatourou, Panagiota,Palpanas, Themis. Fast data series indexing for in-memory data[J]. VLDB JOURNAL,2021:27.
APA	Peng, Botao,Fatourou, Panagiota,&Palpanas, Themis.(2021).Fast data series indexing for in-memory data.VLDB JOURNAL,27.
MLA	Peng, Botao,et al."Fast data series indexing for in-memory data".VLDB JOURNAL (2021):27.