Please use this identifier to cite or link to this item:
http://hdl.handle.net/10397/65460
DC Field | Value | Language |
---|---|---|
dc.contributor | Department of Industrial and Systems Engineering | - |
dc.creator | Ruan, J | - |
dc.creator | Chan, FTS | - |
dc.creator | Zhu, F | - |
dc.creator | Wang, X | - |
dc.creator | Yang, J | - |
dc.date.accessioned | 2017-05-22T02:08:39Z | - |
dc.date.available | 2017-05-22T02:08:39Z | - |
dc.identifier.uri | http://hdl.handle.net/10397/65460 | - |
dc.language.iso | en | en_US |
dc.publisher | Molecular Diversity Preservation International (MDPI) | en_US |
dc.rights | © 2016 by the authors; licensee MDPI, Basel, Switzerland. This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution (CC-BY) license (http://creativecommons.org/licenses/by/4.0/). | en_US |
dc.rights | The following publication 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, 1-16 is available at https://dx.doi.org/10.3390/su8101008 | en_US |
dc.subject | Algorithms | en_US |
dc.subject | CiteSpace | en_US |
dc.subject | Cloud computing | en_US |
dc.subject | Visualization review | en_US |
dc.title | A visualization review of cloud computing algorithms in the last decade | en_US |
dc.type | Journal/Magazine Article | en_US |
dc.identifier.spage | 1 | en_US |
dc.identifier.epage | 16 | en_US |
dc.identifier.volume | 8 | en_US |
dc.identifier.issue | 10 | en_US |
dc.identifier.doi | 10.3390/su8101008 | en_US |
dcterms.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. | - |
dcterms.accessRights | open access | en_US |
dcterms.bibliographicCitation | Sustainability, Oct. 2016, v. 8, no. 10, 1008 | - |
dcterms.isPartOf | Sustainability | - |
dcterms.issued | 2016 | - |
dc.identifier.isi | WOS:000389314600048 | - |
dc.identifier.scopus | 2-s2.0-84994872048 | - |
dc.identifier.ros | 2016002099 | - |
dc.identifier.eissn | 2071-1050 | en_US |
dc.identifier.artn | 1008 | en_US |
dc.identifier.rosgroupid | 2016002057 | - |
dc.description.ros | 2016-2017 > Academic research: refereed > Publication in refereed journal | en_US |
dc.description.validate | 201804_a bcma | en_US |
dc.description.oa | Version of Record | en_US |
dc.identifier.FolderNumber | OA_IR/PIRA | en_US |
dc.description.pubStatus | Published | en_US |
dc.description.oaCategory | CC | en_US |
Appears in Collections: | Journal/Magazine Article |
Files in This Item:
File | Description | Size | Format | |
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Ruan_Visualization_Cloud_Computing.pdf | 3.03 MB | Adobe PDF | View/Open |
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