{"title":"基于知识地图的流处理系统风暴研究分析","authors":"Lina Li, Peng Lian, Tingting Zhang, Nianfeng Li","doi":"10.1109/cvidliccea56201.2022.9824310","DOIUrl":null,"url":null,"abstract":"With the development of the Internet of Things and 5G technology, stream processing systems are more and more widely used, especially the open source Storm platform. A comprehensive understanding of the research status and progress of Storm is of a certain reference value for the academic and industry to carry out related work. Based on bibliometrics theory, this paper takes the citation index of CNKI (China national knowledge infrastructure) and WOS (web of science) databases from 2013 to 2021 as the data source, and the relevant literature of Storm research and application as the research object, which is visualized and analyzed by the CiteSpace software. The knowledge maps are drawn from the aspects of temporal and spatial distribution of literature, distribution of authors and institutions, keyword co-occurrence, citation frequency and keyword prominence, and the research status, research basis, research hotspots and research trends of Storm at home and abroad are analyzed. The research results can provide references for the follow-up theoretical and application research of Storm system.","PeriodicalId":23649,"journal":{"name":"Vision","volume":"70 1","pages":"184-188"},"PeriodicalIF":0.0000,"publicationDate":"2022-05-20","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"Research Analysis of Stream Processing System Storm Based on Knowledge Map\",\"authors\":\"Lina Li, Peng Lian, Tingting Zhang, Nianfeng Li\",\"doi\":\"10.1109/cvidliccea56201.2022.9824310\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"With the development of the Internet of Things and 5G technology, stream processing systems are more and more widely used, especially the open source Storm platform. A comprehensive understanding of the research status and progress of Storm is of a certain reference value for the academic and industry to carry out related work. Based on bibliometrics theory, this paper takes the citation index of CNKI (China national knowledge infrastructure) and WOS (web of science) databases from 2013 to 2021 as the data source, and the relevant literature of Storm research and application as the research object, which is visualized and analyzed by the CiteSpace software. The knowledge maps are drawn from the aspects of temporal and spatial distribution of literature, distribution of authors and institutions, keyword co-occurrence, citation frequency and keyword prominence, and the research status, research basis, research hotspots and research trends of Storm at home and abroad are analyzed. The research results can provide references for the follow-up theoretical and application research of Storm system.\",\"PeriodicalId\":23649,\"journal\":{\"name\":\"Vision\",\"volume\":\"70 1\",\"pages\":\"184-188\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2022-05-20\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"Vision\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/cvidliccea56201.2022.9824310\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"Vision","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/cvidliccea56201.2022.9824310","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 0
摘要
随着物联网和5G技术的发展,流处理系统的应用越来越广泛,尤其是开源的Storm平台。全面了解Storm的研究现状和进展,对学术界和业界开展相关工作具有一定的参考价值。本文基于文献计量学理论,以2013 - 2021年中国国家知识基础设施(CNKI)和WOS (web of science)数据库的引文索引为数据源,以Storm研究和应用的相关文献为研究对象,通过CiteSpace软件进行可视化分析。从文献时空分布、作者和机构分布、关键词共现、被引频次和关键词突出度等方面绘制知识图谱,分析国内外Storm的研究现状、研究基础、研究热点和研究趋势。研究结果可为后续Storm系统的理论和应用研究提供参考。
Research Analysis of Stream Processing System Storm Based on Knowledge Map
With the development of the Internet of Things and 5G technology, stream processing systems are more and more widely used, especially the open source Storm platform. A comprehensive understanding of the research status and progress of Storm is of a certain reference value for the academic and industry to carry out related work. Based on bibliometrics theory, this paper takes the citation index of CNKI (China national knowledge infrastructure) and WOS (web of science) databases from 2013 to 2021 as the data source, and the relevant literature of Storm research and application as the research object, which is visualized and analyzed by the CiteSpace software. The knowledge maps are drawn from the aspects of temporal and spatial distribution of literature, distribution of authors and institutions, keyword co-occurrence, citation frequency and keyword prominence, and the research status, research basis, research hotspots and research trends of Storm at home and abroad are analyzed. The research results can provide references for the follow-up theoretical and application research of Storm system.