Hybrid High Performance Computing (HPC) + Cloud for Scientific Computing
| dc.contributor.author | Balakrishnan, Suresh Reuben A/L | |
| dc.contributor.supervisor | Huo Chong Ling | en_US |
| dc.contributor.supervisor | Veeramani Shanmugam | en_US |
| dc.contributor.supervisor | Iain Murray | en_US |
| dc.contributor.supervisor | Amandeep Sidhu | en_US |
| dc.date.accessioned | 2022-08-08T01:57:30Z | |
| dc.date.available | 2022-08-08T01:57:30Z | |
| dc.date.issued | 2022 | en_US |
| dc.identifier.uri | http://hdl.handle.net/20.500.11937/89123 | |
| dc.description.abstract |
The HPC+Cloud framework has been built to enable on-premise HPC jobs to use resources from cloud computing nodes. As part of designing the software framework, public cloud providers, namely Amazon AWS, Microsoft Azure and NeCTAR were benchmarked against one another, and Microsoft Azure was determined to be the most suitable cloud component in the proposed HPC+Cloud software framework. Finally, an HPC+Cloud cluster was built using the HPC+Cloud software framework and then was validated by conducting HPC processing benchmarks. | en_US |
| dc.publisher | Curtin University | en_US |
| dc.title | Hybrid High Performance Computing (HPC) + Cloud for Scientific Computing | en_US |
| dc.type | Thesis | en_US |
| dcterms.educationLevel | MPhil | en_US |
| curtin.department | Curtin Malaysia | en_US |
| curtin.accessStatus | Open access | en_US |
| curtin.faculty | Curtin Malaysia | en_US |
| curtin.contributor.orcid | Balakrishnan, Suresh Reuben A/L [0000-0002-0539-1499] | en_US |