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发布时间：2019-03-10

论文类型：期刊论文

发表时间：2016-10-01

发表刊物：SUSTAINABILITY

收录刊物：Scopus、SSCI、SCIE

卷号：8

期号：10

ISSN号：2071-1050

关键字：cloud computing; algorithms; visualization review; CiteSpace

摘要：Cloud computing has competitive advantages-such as on-demand self-service, rapid computing, cost reduction, and almost unlimited storage-that have attracted extensive attention from both academia and industry in recent years. Some review works have been reported to summarize extant studies related to cloud computing, but few analyze these studies based on the citations. Co-citation analysis can provide scholars a strong support to identify the intellectual bases and leading edges of a specific field. In addition, advanced algorithms, which can directly affect the availability, efficiency, and security of cloud computing, are the key to conducting computing across various clouds. Motivated by these observations, we conduct a specific visualization review of the studies related to cloud computing algorithms using one mainstream co-citation analysis tool-CiteSpace. The visualization results detect the most influential studies, journals, countries, institutions, and authors on cloud computing algorithms and reveal the intellectual bases and focuses of cloud computing algorithms in the literature, providing guidance for interested researchers to make further studies on cloud computing algorithms.