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Sustainability 2016, 8(10), 1008; doi:10.3390/su8101008

A Visualization Review of Cloud Computing Algorithms in the Last Decade

1
College of Economics and Management, Northwest A & F University, Yangling 712100, China
2
Department of Industrial and Systems Engineering, The Hong Kong Polytechnic University, Hung Hom, Hong Kong, China
3
Faculty of Management and Economics, Dalian University of Technology, Dalian 116023, China
4
Department of Electronic Information Engineering, Handan Polytechnic College, Handan 056001, China
*
Author to whom correspondence should be addressed.
Academic Editor: Marc A. Rosen
Received: 30 July 2016 / Revised: 4 October 2016 / Accepted: 8 October 2016 / Published: 11 October 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. View Full-Text
Keywords: cloud computing; algorithms; visualization review; CiteSpace cloud computing; algorithms; visualization review; CiteSpace
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MDPI and ACS Style

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.

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