A Visualization Review of Cloud Computing Algorithms in the Last Decade
AbstractCloud 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. View Full-Text
Share & Cite This Article
Ruan, J.; Chan, F.T.S.; Zhu, F.; Wang, X.; Yang, J. A Visualization Review of Cloud Computing Algorithms in the Last Decade. Sustainability 2016, 8, 1008.
Ruan J, Chan FTS, Zhu F, Wang X, Yang J. A Visualization Review of Cloud Computing Algorithms in the Last Decade. Sustainability. 2016; 8(10):1008.Chicago/Turabian Style
Ruan, Junhu; Chan, Felix T.S.; Zhu, Fangwei; Wang, Xuping; Yang, Jing. 2016. "A Visualization Review of Cloud Computing Algorithms in the Last Decade." Sustainability 8, no. 10: 1008.
Note that from the first issue of 2016, MDPI journals use article numbers instead of page numbers. See further details here.