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X. Besseron¹, V. Plugaru², A.H. Mahmoudi¹, S. Varrette², B. Peters¹ and P. Bouvry²

¹Research Unit in Engineering Science, University of Luxembourg, Luxembourg
²Computer Science and Communications Research Unit, University of Luxembourg, Luxembourg

doi:10.4203/ccp.107.20

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X. Besseron, V. Plugaru, A.H. Mahmoudi, S. Varrette, B. Peters, P. Bouvry, "Performance Evaluation of the XDEM Framework on the OpenStack Cloud Computing Middleware", in , (Editors), "Proceedings of the Fourth International Conference on Parallel, Distributed, Grid and Cloud Computing for Engineering", Civil-Comp Press, Stirlingshire, UK, Paper 20, 2015. doi:10.4203/ccp.107.20

Keywords: discrete element method, high performance computing, cloud computing, OpenStack, XEN, KVM.

Summary

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 Could Computing middleware using our XDEM application simulating the pyrolysis of biomass as a benchmark.

A systematic study is presented, based on a fully automated benchmarking framework to evaluate three different configurations: native (i.e. no virtualization), OpenStack with KVM and XEN hypervisors. The authors' approach features the following advantages: real user application, the fair comparison using the same hardware, the large scale distributed execution, while being fully automated and reproducible.

Experiments have 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.

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Front Page Browse CCP CSETS CTR IJRT Other Authors Search Purchase Guide FAQ Contact us	Civil-Comp Proceedings ISSN 1759-3433 CCP: 107 PROCEEDINGS OF THE FOURTH INTERNATIONAL CONFERENCE ON PARALLEL, DISTRIBUTED, GRID AND CLOUD COMPUTING FOR ENGINEERING Edited by: Paper 20 Performance Evaluation of the XDEM Framework on the OpenStack Cloud Computing Middleware X. Besseron¹, V. Plugaru², A.H. Mahmoudi¹, S. Varrette², B. Peters¹ and P. Bouvry² ¹Research Unit in Engineering Science, University of Luxembourg, Luxembourg ²Computer Science and Communications Research Unit, University of Luxembourg, Luxembourg doi:10.4203/ccp.107.20 purchase the full-text of this paper Full Bibliographic Reference for this paper X. Besseron, V. Plugaru, A.H. Mahmoudi, S. Varrette, B. Peters, P. Bouvry, "Performance Evaluation of the XDEM Framework on the OpenStack Cloud Computing Middleware", in , (Editors), "Proceedings of the Fourth International Conference on Parallel, Distributed, Grid and Cloud Computing for Engineering", Civil-Comp Press, Stirlingshire, UK, Paper 20, 2015. doi:10.4203/ccp.107.20 Keywords: discrete element method, high performance computing, cloud computing, OpenStack, XEN, KVM. Summary 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 Could Computing middleware using our XDEM application simulating the pyrolysis of biomass as a benchmark. A systematic study is presented, based on a fully automated benchmarking framework to evaluate three different configurations: native (i.e. no virtualization), OpenStack with KVM and XEN hypervisors. The authors' approach features the following advantages: real user application, the fair comparison using the same hardware, the large scale distributed execution, while being fully automated and reproducible. Experiments have 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. purchase the full-text of this paper (price £20) go to the previous paper go to the next paper return to the table of contents return to the book description purchase this book (price £45 +P&P)
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