Online Monitoring of Indexing Technology Based on Parallel Computing for Large Data Stream

DOI

10.2991/amcce-15.2015.158How to use a DOI?

Keywords

Online monitoring; Layers index; Discrete attributes; Associated data; Large data

Abstract

In order to realize the large data online monitoring facing the rural sports project, this paper proposes a hierarchical index structure and its on-line rule matching algorithm, the attribute set on large data stream is divided into discrete attributes by the layers of index. The use of online matching method and the multi-level index of the associated data relation table carry out filter and optimize effective for monitoring results. Through the on-line monitoring data analysis, its experimental result shows that compared with the classical on-line monitoring method, it goes through the hierarchical index structure without reducing the premise of accuracy, it significantly enhances the monitoring efficiency of large data flow, which provides a theoretical reference for the study of large data online monitoring method.

Copyright

© 2015, the Authors. Published by Atlantis Press.

Open Access

This is an open access article distributed under the CC BY-NC license (http://creativecommons.org/licenses/by-nc/4.0/).

Download article (PDF)

TY  - CONF
AU  - Wei Hu
AU  - Jialin Zhang
PY  - 2015/04
DA  - 2015/04
TI  - Online Monitoring of Indexing Technology Based on Parallel Computing for Large Data Stream
BT  - Proceedings of the 2015 International Conference on Automation, Mechanical Control and Computational Engineering
PB  - Atlantis Press
SP  - 957
EP  - 962
SN  - 1951-6851
UR  - https://doi.org/10.2991/amcce-15.2015.158
DO  - 10.2991/amcce-15.2015.158
ID  - Hu2015/04
ER  -