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Integrated management system for a large computing resources in a scientific data center

Authors
Kim, C.-W.Yoon, H.Jin, D.Park, S.O.
Issue Date
Sep-2016
Publisher
Springer New York LLC
Keywords
Automation; High-performance computing; Integrated management
Citation
Journal of Supercomputing, v.72, no.9, pp 3511 - 3521
Pages
11
Journal Title
Journal of Supercomputing
Volume
72
Number
9
Start Page
3511
End Page
3521
URI
https://scholarworks.bwise.kr/cau/handle/2019.sw.cau/60464
DOI
10.1007/s11227-015-1480-2
ISSN
0920-8542
1573-0484
Abstract
Recently, many scientists in a basic science field have been using high-performance 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.
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소프트웨어대학 (소프트웨어학부)
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