Reference : HPC Performance and Energy-Efficiency of Xen, KVM and VMware Hypervisors
Scientific congresses, symposiums and conference proceedings : Paper published in a book
Engineering, computing & technology : Computer science
Computational Sciences
http://hdl.handle.net/10993/12424
HPC Performance and Energy-Efficiency of Xen, KVM and VMware Hypervisors
English
Varrette, Sébastien mailto [University of Luxembourg > Faculty of Science, Technology and Communication (FSTC) > Computer Science and Communications Research Unit (CSC) >]
Guzek, Mateusz mailto [University of Luxembourg > Interdisciplinary Centre for Security, Reliability and Trust (SNT) > >]
Plugaru, Valentin mailto [University of Luxembourg > Faculty of Science, Technology and Communication (FSTC) > >]
Besseron, Xavier mailto [University of Luxembourg > Faculty of Science, Technology and Communication (FSTC) > Engineering Research Unit >]
Bouvry, Pascal mailto [University of Luxembourg > Faculty of Science, Technology and Communication (FSTC) > Computer Science and Communications Research Unit (CSC) >]
Oct-2013
Proc. of the 25th Symposium on Computer Architecture and High Performance Computing (SBAC-PAD 2013)
Yes
International
25th Symposium on Computer Architecture and High Performance Computing (SBAC-PAD 2013)
Oct 2013
Porto de Galinhas
Brazil
[en] HPC ; Cloud ; Hypervisors
[en] With a growing concern on the considerable energy consumed by HPC platforms and data centers, research efforts are targeting green approaches with higher energy efficiency. In particular, virtualization is emerging as the prominent approach to mutualize the energy consumed by a single server running multiple VMs instances. Even today, it remains unclear whether the overhead induced by virtualization and the corresponding hypervisor middleware suits an environment as high-demanding as an HPC platform. In this paper, we analyze from an HPC perspective the three most widespread virtualization frameworks, namely Xen, KVM, and VMware ESXi and compare them with a baseline environment running in native mode. We performed our experiments on the Grid’5000 platform by measuring the results of the reference HPL benchmark. Power measures were also performed in parallel to quantify the potential energy efficiency of the virtualized environments. In general, our study offers novel incentives toward in-house HPC platforms running without any virtualized frameworks.
University of Luxembourg: High Performance Computing - ULHPC
http://hdl.handle.net/10993/12424

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