Reference : Performance Evaluation of the XDEM framework on the OpenStack Cloud Computing Middleware
Scientific congresses, symposiums and conference proceedings : Paper published in a book
Engineering, computing & technology : Computer science
Computational Sciences
http://hdl.handle.net/10993/20671
Performance Evaluation of the XDEM framework on the OpenStack Cloud Computing Middleware
English
Besseron, Xavier mailto [University of Luxembourg > Faculty of Science, Technology and Communication (FSTC) > Engineering Research Unit >]
Plugaru, Valentin mailto [University of Luxembourg > Faculty of Science, Technology and Communication (FSTC) > Computer Science and Communications Research Unit (CSC) >]
Mahmoudi, Amir Houshang mailto [University of Luxembourg > Faculty of Science, Technology and Communication (FSTC) > Engineering Research Unit >]
Varrette, Sébastien mailto [University of Luxembourg > Faculty of Science, Technology and Communication (FSTC) > Computer Science and Communications Research Unit (CSC) >]
Peters, Bernhard 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) >]
Feb-2015
Proceedings of the Fourth International Conference on Parallel, Distributed, Grid and Cloud Computing for Engineering
Civil-Comp Press
Yes
International
The Fourth International Conference on Parallel, Distributed, Grid and Cloud Computing for Engineering
March 2015
Dubrovnik
Croatia
[en] Discrete element method ; High Performance Computing ; Cloud Computing ; OpenStack ; XEN ; KVM
[en] As Cloud Computing services become ever more prominent, it appears necessary to assess the efficiency of these solutions. This paper presents a performance evaluation of the OpenStack Cloud Computing middleware using our XDEM application simulating the pyrolysis of biomass as a benchmark.
We propose a systematic study based on a fully automated benchmarking framework to evaluate 3 different configurations: Native (i.e. no virtualization), OpenStack with KVM and XEN hypervisors. Our approach features the following advantages:
real user application, the fair comparison using the same hardware, the large scale distributed execution, while fully automated and reproducible.
Experiments has been run on two different clusters, using up to 432 cores. Results show a moderate overhead for sequential execution and a significant penalty for distributed execution under the Cloud middleware. The overhead on multiple nodes is between 10% and 30% for OpenStack/KVM and 30% and 60% for OpenStack/XEN.
University of Luxembourg: High Performance Computing - ULHPC ; University of Luxembourg: Luxembourg XDEM Research Centre - LuXDEM
http://hdl.handle.net/10993/20671

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