A framework for comparative performance study on virtualised machines

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 appliedthetoolframeworktoanalyseanumberofbenchmarkapplicationsandconductedoptimisations based on the analysis discovery. The initial experimental results show a significant performance gain. She is currently a senior research associate at the Steinbuch Centre for Computing, Karlsruhe Institute of Technology. Her research work targets mainly on parallel and distributed computing, data-intensive computing and grid and cLOUD computing. She has published more than 100 articles in peer-reviewed international journals and leading conferences. She serves as co-chair or PC member in a set of international conferences and workshops.