The NAS Benchmark Kernels for Single and Multi-Tenant Cloud Instances with LXC/KVM
Maliszewski AM, Griebler D, Schepke C, Ditter A, Fey D, Fernandes LG (2018)
Publication Language: English
Publication Type: Conference contribution
Publication year: 2018
Publisher: Institute of Electrical and Electronics Engineers Inc.
Edited Volumes: Proceedings - 2018 International Conference on High Performance Computing and Simulation, HPCS 2018
Pages Range: 359-366
Conference Proceedings Title: 2018 International Conference on High Performance Computing Simulation (HPCS)
Event location: Orléans
ISBN: 9781538678787
Abstract
Private IaaS clouds are an attractive environment for scientific workloads and applications. It provides advantages such as almost instantaneous availability of high-performance computing in a single node as well as compute clusters, easy access for researchers, and users that do not have access to conventional supercomputers. Furthermore, a cloud infrastructure provides elasticity and scalability to ensure and manage any software dependency on the system with no third-party dependency for researchers. However, one of the biggest challenges is to avoid significant performance degradation when migrating these applications from physical nodes to a cloud environment. Also, we lack more research investigations for multi-Tenant cloud instances. In this paper, our goal is to perform a comparative performance evaluation of scientific applications with single and multi-Tenancy cloud instances using KVM and LXC virtualization technologies under private cloud conditions. All analyses and evaluations were carried out based on NAS Benchmark kernels to simulate different types of workloads. We applied statistic significance tests to highlight the differences. The results have shown that applications running on LXC-based cloud instances outperform KVM-based cloud instances in 93.75% of the experiments w.r.t single tenant. Regarding multi-Tenant, LXC instances outperform KVM instances in 45% of the results, where the performance differences were not as significant as expected.
Authors with CRIS profile
Alexander Ditter
Lehrstuhl für Informatik 3 (Rechnerarchitektur)
Dietmar Fey
Lehrstuhl für Informatik 3 (Rechnerarchitektur)
How to cite
APA:
Maliszewski, A.M., Griebler, D., Schepke, C., Ditter, A., Fey, D., & Fernandes, L.G. (2018). The NAS Benchmark Kernels for Single and Multi-Tenant Cloud Instances with LXC/KVM. In 2018 International Conference on High Performance Computing Simulation (HPCS) (pp. 359-366). Orléans, FR: Institute of Electrical and Electronics Engineers Inc..
MLA:
Maliszewski, Anderson Mattheus, et al. "The NAS Benchmark Kernels for Single and Multi-Tenant Cloud Instances with LXC/KVM." Proceedings of the 16th International Conference on High Performance Computing and Simulation, HPCS 2018, Orléans Institute of Electrical and Electronics Engineers Inc., 2018. 359-366.
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