Adaptable scheduling schemes for scientific applications on science cloud
DC Field | Value | Language |
---|---|---|
dc.contributor.author | Kim S. | - |
dc.contributor.author | Kim Y. | - |
dc.contributor.author | Song N. | - |
dc.contributor.author | Kim C. | - |
dc.date.available | 2021-02-22T14:03:08Z | - |
dc.date.issued | 2010-10 | - |
dc.identifier.issn | 0000-0000 | - |
dc.identifier.uri | https://scholarworks.sookmyung.ac.kr/handle/2020.sw.sookmyung/13620 | - |
dc.description.abstract | As one of IaaS (Infrastructure-as-a-Service), it is beneficial to arrange virtual machines dynamically to applications based on resource provisioning mechanism. However, it is challenging to apply scheduling scheme to utilize resources efficiently when many tasks require a lot of resources at the same time. Especially, scientific applications, which require large-scale computing resource for long term execution period, need more dynamic scheduling to occupy resource appropriately. Resource virtualization, manipulating several virtual machines (VMs) over physical resource gives good opportunities to enhance the performance of applications and resources. In this paper, we conducted experiments on adaptable scheduling schemes with scientific applications which need a lot of resources for long execution time period on cloud computing environment by distributing jobs to VMs. We provide cloud computing infrastructure by using OpenNebula virtual infrastructure engine and Haziea scheduler. Moreover, we verified the improvement of the execution time of applications and whole resource usage by scheduling VMs according to their priorities. © 2010 IEEE. | - |
dc.language | 영어 | - |
dc.language.iso | ENG | - |
dc.publisher | IEEE | - |
dc.title | Adaptable scheduling schemes for scientific applications on science cloud | - |
dc.type | Article | - |
dc.publisher.location | 미국 | - |
dc.identifier.doi | 10.1109/CLUSTERWKSP.2010.5613088 | - |
dc.identifier.scopusid | 2-s2.0-78649890527 | - |
dc.identifier.bibliographicCitation | 2010 IEEE International Conference on Cluster Computing Workshops and Posters, Cluster Workshops 2010 | - |
dc.citation.title | 2010 IEEE International Conference on Cluster Computing Workshops and Posters, Cluster Workshops 2010 | - |
dc.type.docType | Conference Paper | - |
dc.description.isOpenAccess | N | - |
dc.description.journalRegisteredClass | scopus | - |
dc.subject.keywordPlus | Cloud computing | - |
dc.subject.keywordPlus | Component | - |
dc.subject.keywordPlus | Dynamic scheduling | - |
dc.subject.keywordPlus | Execution time | - |
dc.subject.keywordPlus | Infrastructure as a services | - |
dc.subject.keywordPlus | Large-scale computing | - |
dc.subject.keywordPlus | Long term | - |
dc.subject.keywordPlus | Physical resources | - |
dc.subject.keywordPlus | Resource provisioning | - |
dc.subject.keywordPlus | Resource usage | - |
dc.subject.keywordPlus | Resource Virtualization | - |
dc.subject.keywordPlus | Scheduling schemes | - |
dc.subject.keywordPlus | Science cloud | - |
dc.subject.keywordPlus | Scientific applications | - |
dc.subject.keywordPlus | Virtual infrastructures | - |
dc.subject.keywordPlus | Virtual machines | - |
dc.subject.keywordPlus | Computer simulation | - |
dc.subject.keywordPlus | Computer systems | - |
dc.subject.keywordPlus | Scheduling | - |
dc.subject.keywordPlus | Cluster computing | - |
dc.subject.keywordAuthor | Cloud computing | - |
dc.subject.keywordAuthor | Component | - |
dc.subject.keywordAuthor | Scheduling | - |
dc.subject.keywordAuthor | Science cloud | - |
dc.subject.keywordAuthor | Scientific application | - |
dc.identifier.url | https://ieeexplore.ieee.org/document/5613088 | - |
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