雾计算技术研究：回顾性概述和文献计量分析

IF 23.8 1区计算机科学 Q1 COMPUTER SCIENCE, THEORY & METHODS

ACM Computing Surveys Pub Date : 2024-11-02 DOI:10.1145/3702313

Paola Vinueza-Naranjo, Janneth Chicaiza, Ruben Rumipamba-Zambrano

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引用次数: 0

摘要

自过去十年以来，研究人员对雾计算及其在不同领域应用的兴趣与日俱增。为了发现这一架构的内在新兴趋势，我们通过文献计量学研究分析了 Scopus 索引的科学文献。揭示发展领域的趋势将使研究人员了解随着时间推移发生的变化和演变。为了进行分析，我们采用了三种方法：性能分析、科学绘图和文献聚类。分析结果表明，从 2012 年到 2021 年，雾计算架构的研究领域大有可为，这强调了雾计算在未来仍将是一个有趣的研究领域。

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Fog Computing Technology Research: A Retrospective Overview and Bibliometric Analysis

Researchers’ interest in Fog Computing and its application in different sectors has been increasing since the last decade. To discover the emerging trends inherent to this architecture, we analyzed the scientific literature indexed in Scopus through a bibliometric study. Exposing trends in areas of development will allow researchers to understand the changes and evolution over time. For analysis purposes, we used three approaches: performance analysis, science mapping, and literature clustering. Analysis results revealed promising investigation areas in the Fog Computing architecture from 2012 to 2021, which emphasizes that Fog Computing will continue to be an interesting field of research in the future.

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来源期刊

ACM Computing Surveys 工程技术-计算机：理论方法

CiteScore

33.20

自引率

0.60%

发文量

372

审稿时长

12 months

期刊介绍： ACM Computing Surveys is an academic journal that focuses on publishing surveys and tutorials on various areas of computing research and practice. The journal aims to provide comprehensive and easily understandable articles that guide readers through the literature and help them understand topics outside their specialties. In terms of impact, CSUR has a high reputation with a 2022 Impact Factor of 16.6. It is ranked 3rd out of 111 journals in the field of Computer Science Theory & Methods. ACM Computing Surveys is indexed and abstracted in various services, including AI2 Semantic Scholar, Baidu, Clarivate/ISI: JCR, CNKI, DeepDyve, DTU, EBSCO: EDS/HOST, and IET Inspec, among others.