Please use this identifier to cite or link to this item: https://hdl.handle.net/2440/93075
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dc.contributor.authorNoor, T.-
dc.contributor.authorSheng, Q.-
dc.contributor.authorNgu, A.-
dc.contributor.authorDustdar, S.-
dc.date.issued2014-
dc.identifier.citationIEEE Internet Computing, 2014; 18(4):55-61-
dc.identifier.issn1089-7801-
dc.identifier.issn1941-0131-
dc.identifier.urihttp://hdl.handle.net/2440/93075-
dc.description.abstractCloud services have unique characteristics, including dynamic and diverse service offerings at different levels, few standardized description languages, and varied deployment platforms. Searching such services is thus challenging. The authors’ cloud service crawler engine collects metadata about 5,883 cloud services over the Web after parsing more than half a million possible links. An extensive statistical analysis on this data gives an overall view of cloud service provisioning’s current status.-
dc.description.statementofresponsibilityTalal H. Noor, Quan Z. Sheng, Anne H.H. Ngu, Schahram Dustdar-
dc.language.isoen-
dc.publisherInstitute of Electrical and Electronics Engineers Inc.-
dc.rights© 2014 IEEE-
dc.source.urihttp://dx.doi.org/10.1109/mic.2014.64-
dc.titleAnalysis of web-scale cloud services-
dc.typeJournal article-
dc.identifier.doi10.1109/MIC.2014.64-
dc.relation.granthttp://purl.org/au-research/grants/arc/DP140100104-
dc.relation.granthttp://purl.org/au-research/grants/arc/DP130104614-
pubs.publication-statusPublished-
Appears in Collections:Aurora harvest 7
Computer Science publications

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