Hybrid High Performance Computing (HPC) + Cloud for Scientific Computing
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 determine...
| Main Author: | |
|---|---|
| Format: | Thesis |
| Published: |
Curtin University
2022
|
| Online Access: | http://hdl.handle.net/20.500.11937/89123 |
| _version_ | 1848765166112473088 |
|---|---|
| author | Balakrishnan, Suresh Reuben A/L |
| author_facet | Balakrishnan, Suresh Reuben A/L |
| author_sort | Balakrishnan, Suresh Reuben A/L |
| building | Curtin Institutional Repository |
| collection | Online Access |
| description | 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. |
| first_indexed | 2025-11-14T11:30:55Z |
| format | Thesis |
| id | curtin-20.500.11937-89123 |
| institution | Curtin University Malaysia |
| institution_category | Local University |
| last_indexed | 2025-11-14T11:30:55Z |
| publishDate | 2022 |
| publisher | Curtin University |
| recordtype | eprints |
| repository_type | Digital Repository |
| spelling | curtin-20.500.11937-891232022-08-08T01:57:30Z Hybrid High Performance Computing (HPC) + Cloud for Scientific Computing Balakrishnan, Suresh Reuben A/L 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. 2022 Thesis http://hdl.handle.net/20.500.11937/89123 Curtin University fulltext |
| spellingShingle | Balakrishnan, Suresh Reuben A/L Hybrid High Performance Computing (HPC) + Cloud for Scientific Computing |
| title | Hybrid High Performance Computing (HPC) + Cloud for Scientific
Computing |
| title_full | Hybrid High Performance Computing (HPC) + Cloud for Scientific
Computing |
| title_fullStr | Hybrid High Performance Computing (HPC) + Cloud for Scientific
Computing |
| title_full_unstemmed | Hybrid High Performance Computing (HPC) + Cloud for Scientific
Computing |
| title_short | Hybrid High Performance Computing (HPC) + Cloud for Scientific
Computing |
| title_sort | hybrid high performance computing (hpc) + cloud for scientific
computing |
| url | http://hdl.handle.net/20.500.11937/89123 |