A visualization review of cloud computing algorithms in the last decade

Junhu Ruan, Tung Sun Chan, Fangwei Zhu, Xuping Wang, Jing Yang

Research output: Journal article publicationReview articleAcademic researchpeer-review

9 Citations (Scopus)

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.
Original languageEnglish
Article number1008
JournalSustainability (Switzerland)
Volume8
Issue number10
DOIs
Publication statusPublished - 11 Oct 2016

Keywords

  • Algorithms
  • CiteSpace
  • Cloud computing
  • Visualization review

ASJC Scopus subject areas

  • Geography, Planning and Development
  • Renewable Energy, Sustainability and the Environment
  • Management, Monitoring, Policy and Law

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