Benchmarking
| dc.contributor.author | Tan, R. | |
| dc.contributor.author | Leong, J. | |
| dc.contributor.author | Sidhu, Amandeep | |
| dc.date.accessioned | 2018-06-29T12:27:01Z | |
| dc.date.available | 2018-06-29T12:27:01Z | |
| dc.date.created | 2018-06-29T12:08:44Z | |
| dc.date.issued | 2018 | |
| dc.identifier.citation | Tan, R. and Leong, J. and Sidhu, A. 2018. Benchmarking. In Studies in Computational Intelligence, 35-45. | |
| dc.identifier.uri | http://hdl.handle.net/20.500.11937/68747 | |
| dc.identifier.doi | 10.1007/978-3-319-73214-5_3 | |
| dc.description.abstract |
© Springer International Publishing AG 2018. Three public clouds was benchmarked which are Microsoft Azure, Amazon EC2 and the Australian National eResearch Collaboration Tools and Resources (NECTAR). NECTAR is an Australian Government project to provide public cloud resources to Australian Universities. The other player of choice among both Industry and Academic Institutions is Amazon Public Cloud or commonly known as Amazon EC2 which is a subsidiary of retail giant Amazon.com. The main reason the Amazon EC2 is popular with both academia and industry is because Amazon was an early pioneer in providing public cloud services. Compared to both NECTAR and Amazon Public Cloud, Microsoft Azure is a relative newcomer only starting to provide its services in 2012. | |
| dc.title | Benchmarking | |
| dc.type | Book Chapter | |
| dcterms.source.volume | 759 | |
| dcterms.source.startPage | 35 | |
| dcterms.source.endPage | 45 | |
| dcterms.source.title | Studies in Computational Intelligence | |
| curtin.department | Curtin Malaysia | |
| curtin.accessStatus | Fulltext not available |
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