Is container-based technology a winner for high performance scientific applications?
DC Field | Value | Language |
---|---|---|
dc.contributor.author | Adufu T. | - |
dc.contributor.author | Choi J. | - |
dc.contributor.author | Kim Y. | - |
dc.date.available | 2021-02-22T11:33:06Z | - |
dc.date.issued | 2015-09 | - |
dc.identifier.issn | 0000-0000 | - |
dc.identifier.uri | https://scholarworks.sookmyung.ac.kr/handle/2020.sw.sookmyung/10239 | - |
dc.description.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. | - |
dc.format.extent | 4 | - |
dc.language | 영어 | - |
dc.language.iso | ENG | - |
dc.publisher | Institute of Electrical and Electronics Engineers Inc. | - |
dc.title | Is container-based technology a winner for high performance scientific applications? | - |
dc.type | Article | - |
dc.publisher.location | 미국 | - |
dc.identifier.doi | 10.1109/APNOMS.2015.7275379 | - |
dc.identifier.scopusid | 2-s2.0-84957539781 | - |
dc.identifier.bibliographicCitation | 17th Asia-Pacific Network Operations and Management Symposium: Managing a Very Connected World, APNOMS 2015, pp 507 - 510 | - |
dc.citation.title | 17th Asia-Pacific Network Operations and Management Symposium: Managing a Very Connected World, APNOMS 2015 | - |
dc.citation.startPage | 507 | - |
dc.citation.endPage | 510 | - |
dc.type.docType | Conference Paper | - |
dc.description.isOpenAccess | N | - |
dc.description.journalRegisteredClass | scopus | - |
dc.subject.keywordPlus | Cloud computing | - |
dc.subject.keywordPlus | Computer software | - |
dc.subject.keywordPlus | Economic and social effects | - |
dc.subject.keywordPlus | Virtual reality | - |
dc.subject.keywordPlus | Docker | - |
dc.subject.keywordPlus | Efficient resource allocation | - |
dc.subject.keywordPlus | High performance computing (HPC) | - |
dc.subject.keywordPlus | Molecular modeling simulations | - |
dc.subject.keywordPlus | OpenStack | - |
dc.subject.keywordPlus | Scientific applications | - |
dc.subject.keywordPlus | Virtualization technologies | - |
dc.subject.keywordPlus | Virtualizations | - |
dc.subject.keywordPlus | Containers | - |
dc.subject.keywordAuthor | Cloud Computing | - |
dc.subject.keywordAuthor | Container-based virtualization | - |
dc.subject.keywordAuthor | Docker | - |
dc.subject.keywordAuthor | High Performance Computing (HPC) | - |
dc.subject.keywordAuthor | Hypervisor-based virtualization (HPV) | - |
dc.subject.keywordAuthor | OpenStack | - |
dc.identifier.url | https://ieeexplore.ieee.org/document/7275379 | - |
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