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Fast data series indexing for in-memory data
Peng, Botao1; Fatourou, Panagiota2; Palpanas, Themis3,4
2021-06-18
发表期刊VLDB JOURNAL
ISSN1066-8888
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
DOI10.1007/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:15[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
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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.
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