Key Technology of Internet of Things Middleware and Computer Event Matching Algorithm

In order to solve the problem of complex event pattern in big data and strengthen research on key technologies of the Internet of Things and computer time matching algorithms, this paper studies the problem based on Hadoop clustering algorithm. Firstly, based on the subtype attribute of event type,...

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Main Authors: Laicun Li, Rulin Bai
Format: Article
Language:English
Published: Wiley 2022-01-01
Series:Journal of Electrical and Computer Engineering
Online Access:http://dx.doi.org/10.1155/2022/2144597
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author Laicun Li
Rulin Bai
author_facet Laicun Li
Rulin Bai
author_sort Laicun Li
collection DOAJ
description In order to solve the problem of complex event pattern in big data and strengthen research on key technologies of the Internet of Things and computer time matching algorithms, this paper studies the problem based on Hadoop clustering algorithm. Firstly, based on the subtype attribute of event type, the maximum value is selected as the final attribute value of the event after weighting the event. Secondly, cluster analysis is conducted on the Internet of Things flow dataset through the relationship between complex events. Finally, the simulation test is carried out on the simulation dataset of complex event relationship, and the simulation test of clustering algorithm comparison is carried out. The experimental results show that the clustering accuracy of different datasets is above 85%, and the clustering accuracy of causality reaches 96.07% when the dataset is 5G. Therefore, the algorithm proposed has high feasibility, good stability, and high speed and effectiveness for complex event processing. This study has certain practical significance for solving the problem of complex event pattern in big data.
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institution Kabale University
issn 2090-0155
language English
publishDate 2022-01-01
publisher Wiley
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series Journal of Electrical and Computer Engineering
spelling doaj-art-f690c7ffb75844ae8c8b4c24f8a06ab72025-02-03T05:50:05ZengWileyJournal of Electrical and Computer Engineering2090-01552022-01-01202210.1155/2022/2144597Key Technology of Internet of Things Middleware and Computer Event Matching AlgorithmLaicun Li0Rulin Bai1Bangde CollegeBangde CollegeIn order to solve the problem of complex event pattern in big data and strengthen research on key technologies of the Internet of Things and computer time matching algorithms, this paper studies the problem based on Hadoop clustering algorithm. Firstly, based on the subtype attribute of event type, the maximum value is selected as the final attribute value of the event after weighting the event. Secondly, cluster analysis is conducted on the Internet of Things flow dataset through the relationship between complex events. Finally, the simulation test is carried out on the simulation dataset of complex event relationship, and the simulation test of clustering algorithm comparison is carried out. The experimental results show that the clustering accuracy of different datasets is above 85%, and the clustering accuracy of causality reaches 96.07% when the dataset is 5G. Therefore, the algorithm proposed has high feasibility, good stability, and high speed and effectiveness for complex event processing. This study has certain practical significance for solving the problem of complex event pattern in big data.http://dx.doi.org/10.1155/2022/2144597
spellingShingle Laicun Li
Rulin Bai
Key Technology of Internet of Things Middleware and Computer Event Matching Algorithm
Journal of Electrical and Computer Engineering
title Key Technology of Internet of Things Middleware and Computer Event Matching Algorithm
title_full Key Technology of Internet of Things Middleware and Computer Event Matching Algorithm
title_fullStr Key Technology of Internet of Things Middleware and Computer Event Matching Algorithm
title_full_unstemmed Key Technology of Internet of Things Middleware and Computer Event Matching Algorithm
title_short Key Technology of Internet of Things Middleware and Computer Event Matching Algorithm
title_sort key technology of internet of things middleware and computer event matching algorithm
url http://dx.doi.org/10.1155/2022/2144597
work_keys_str_mv AT laicunli keytechnologyofinternetofthingsmiddlewareandcomputereventmatchingalgorithm
AT rulinbai keytechnologyofinternetofthingsmiddlewareandcomputereventmatchingalgorithm