{"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}
引用次数: 0
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.