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 4; Fatourou, Panagiota 3; Palpanas, Themis 1,2
刊名	VLDB JOURNAL
	2021-06-18
页码	27
关键词	Data series Indexing Modern hardware
ISSN号	1066-8888
DOI	10.1007/s00778-021-00677-2
英文摘要	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.
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
语种	英语
出版者	SPRINGER
WOS记录号	WOS:000662809500001
内容类型	期刊论文
源URL	[http://119.78.100.204/handle/2XEOYT63/17647]
专题	中国科学院计算技术研究所
通讯作者	Peng, Botao
作者单位	1.French Univ Inst IUF, Paris, France 2.Univ Paris, LIPADE, Paris, France 3.FORTH ICS, Iraklion, Greece 4.Chinese Acad Sci, Inst Comp Technol, Beijing, Peoples R China
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.