a visualization review of cloud computing algorithms in the last decade

Clicks: 153
ID: 203939
2016
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Abstract
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.
Reference Key
ruan2016sustainabilitya Use this key to autocite in the manuscript while using SciMatic Manuscript Manager or Thesis Manager
Authors ;Junhu Ruan;Felix T. S. Chan;Fangwei Zhu;Xuping Wang;Jing Yang
Journal journal of physics: conference series
Year 2016
DOI
10.3390/su8101008
URL
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