Name
Abstract | ||
|---|---|---|
The virtualisation technology has been widely used today in various research fields, including high performance computing, grid computing, cloud computing as well as server-client systems. The virtualisation introduces advantages such as on-demand customised resource provision, easy management and support for multiple Operating Systems, etc. However, this technology also results in a performance loss due to the additional virtualisation layer. To help application developers study the performance issues on virtualised multicore machines, we developed a tool framework with a set of performance tools that collect the runtime performance data and demonstrate the different runtime application behaviour on both the physical machine and the virtual machine within a single view. We applied the tool framework to analyse a number of benchmark applications and conducted optimisations based on the analysis discovery. The initial experimental results show a significant performance gain. |
Year | DOI | Venue |
|---|---|---|
2014 | 10.1504/IJAHUC.2014.065772 | International Journal of Ad Hoc and Ubiquitous Computing |
Keywords | Field | DocType |
virtualisation,profiling | Virtualization,Grid computing,Virtual machine,Supercomputer,Computer science,Profiling (computer programming),Multi-core processor,Distributed computing,Cloud computing | Journal |
Volume | Issue | ISSN |
17 | 2/3 | 1743-8225 |
Citations | PageRank | References |
0 | 0.34 | 26 |
Authors | ||
3 | ||
Name | Order | Citations | PageRank |
|---|---|---|---|
| Jiaqi Zhao | 1 | 0 | 0.34 |
| Jie Tao | 2 | 916 | 61.29 |
| Karl Fürlinger | 3 | 15 | 1.61 |