Is container-based technology a winner for high performance scientific applications?
- Authors
- Adufu T.; Choi J.; Kim Y.
- Issue Date
- Sep-2015
- Publisher
- Institute of Electrical and Electronics Engineers Inc.
- Keywords
- Cloud Computing; Container-based virtualization; Docker; High Performance Computing (HPC); Hypervisor-based virtualization (HPV); OpenStack
- Citation
- 17th Asia-Pacific Network Operations and Management Symposium: Managing a Very Connected World, APNOMS 2015, pp 507 - 510
- Pages
- 4
- Journal Title
- 17th Asia-Pacific Network Operations and Management Symposium: Managing a Very Connected World, APNOMS 2015
- Start Page
- 507
- End Page
- 510
- URI
- https://scholarworks.sookmyung.ac.kr/handle/2020.sw.sookmyung/10239
- DOI
- 10.1109/APNOMS.2015.7275379
- ISSN
- 0000-0000
- Abstract
- High Performance Computing (HPC) applications require systems with environments for maximum use of limited resources to facilitate efficient computations. However, these systems are faced with a large trade-off between efficient resource allocation and minimum execution times for the applications executed on them. Also, deploying applications in newer environments is exacting. To alleviate this challenge, container-based systems are recently being deployed to reduce the trade-off. In this paper, we investigate container-based technology as an efficient virtualization technology for running high performance scientific applications. We select Docker as the container-based technology for our test bed. We execute autodock3, a molecular modeling simulation software mostly used for Protein-ligand docking, in Docker containers and VMs created using OpenStack. We compare the execution times of the docking process in both Docker containers and in VMs. © 2015 IEICE.
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