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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Collections - College of Software > School of Computer Science and Engineering > 1. Journal Articles
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