Abstract
Cloud computing is capturing attention of the market by providing infrastructure, platform and software as a services. Using virtualization technology, resources are shared among multiple users to improve the resource utilization. By leasing the infrastructure from public cloud, users can save money and time to maintain the expensive computing facility. Therefore, it gives an option for cluster and grid computing technology which is used for industrial application or scientific workflow. Virtual machine enables more flexibility for consolidation of the underutilized servers. However, containers are also competing with virtual machine to improve the resource utilization. Therefore, to adopt cloud computing for scientific workflow, scientist needs to understand the performance of virtual machine and container. We have used cloud computing with different virtualization technologies like KVM and container to test the performance of scientific workflow. In this work, we analyze the performance of scientific workflow on OpenStack’s virtual machine and OpenVZ’s container. Our result shows that container gives better and stable performance than virtual machine.
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Acknowledgment
This work was supported by the program of the Construction and Operation for Large-scale Science Data Center (K-15-L01-C05) and by National Research Foundation (NRF) of Korea (N-15-NM-IR01).
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© 2016 ICST Institute for Computer Sciences, Social Informatics and Telecommunications Engineering
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Jaikar, A., Shah, S.A.R., Bae, S., Noh, SY. (2016). Performance Evaluation of Scientific Workflow on OpenStack and OpenVZ. In: Zhang, Y., Peng, L., Youn, CH. (eds) Cloud Computing. CloudComp 2015. Lecture Notes of the Institute for Computer Sciences, Social Informatics and Telecommunications Engineering, vol 167. Springer, Cham. https://doi.org/10.1007/978-3-319-38904-2_13
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DOI: https://doi.org/10.1007/978-3-319-38904-2_13
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