Please use this identifier to cite or link to this item: http://hdl.handle.net/10397/65460
Title: A visualization review of cloud computing algorithms in the last decade
Authors: Ruan, J
Chan, FTS 
Zhu, F
Wang, X
Yang, J
Keywords: Algorithms
CiteSpace
Cloud computing
Visualization review
Issue Date: 2016
Publisher: Molecular Diversity Preservation International (MDPI)
Source: Sustainability, 2016, v. 8, no. 10, 1008 How to cite?
Journal: Sustainability 
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.
URI: http://hdl.handle.net/10397/65460
EISSN: 2071-1050
DOI: 10.3390/su8101008
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