download0 view953
twitter facebook

공공누리This item is licensed Korea Open Government License

dc.contributor.author
김지웅
dc.contributor.author
박상오
dc.contributor.author
윤희준
dc.contributor.author
진두석
dc.date.accessioned
2019-08-28T07:41:49Z
dc.date.available
2019-08-28T07:41:49Z
dc.date.issued
2015-07-17
dc.identifier.issn
0920-8542
dc.identifier.uri
https://repository.kisti.re.kr/handle/10580/14475
dc.identifier.uri
http://www.ndsl.kr/ndsl/search/detail/article/articleSearchResultDetail.do?cn=NART76412173
dc.description.abstract
Recently, many scientists in a basic science field have been using highperformance computer to analyze the large-scale data according to developed IT technology. A data center with large computing resources provides high-performance computing resources to scientists. To support various science fields, the large computing resources of data center are frequently re-organized based on its purpose. System software management, account management and infrastructure management are needed to re-organize and manage the large computing resources. However, these management policies take a lot of work and time of the system administrators. In this paper, we propose IMS (integrated management system) to manage computing resources efficiently and to reduce a lot of work and time. IMS not only integrates three separated managements, but also automates infrastructure management. Therefore, IMS provides high availability and usability of whole computing resources as well as reduces re-organizing time and cost of work and time.
dc.language
eng
dc.relation.ispartofseries
Journal of Supercomputing
dc.title
Integrated management system for a large computing resources in a scientific data center
dc.subject.keyword
Integrated management
dc.subject.keyword
Automation
dc.subject.keyword
High-performance computing
Appears in Collections:
7. KISTI 연구성과 > 학술지 발표논문
Files in This Item:
There are no files associated with this item.

Browse