This item is licensed Korea Open Government License
dc.contributor.author
정대용
dc.contributor.author
김명일
dc.contributor.author
김재성
dc.contributor.author
이대원
dc.contributor.author
정희석
dc.date.accessioned
2019-08-28T07:42:10Z
dc.date.available
2019-08-28T07:42:10Z
dc.date.issued
2017-12-30
dc.identifier.issn
1573-7543
dc.identifier.uri
https://repository.kisti.re.kr/handle/10580/14698
dc.description.abstract
Latest scientific application and simulation are requiring powerful computing resources. To get the sufficient resources, more and more computer experts are constructing high-end supercomputer, cluster computing or cloud computing. Although most corporations are starting to use high performance computing by organizing cluster, they rarely add some extra resources ynamically when computing power is not sufficient. In addition, they are also expensive to use insufficient resources as cloud computing resources.To overcome resource limitations when using cloud computing to conduct large computations, we exploit underutilized personal desktops by organizing a heterogeneous cluster environment. An open-source based scheduler, Son of Grid Engine (SGE) is provided in the integrated environment to manage or control the extra computing resources. Two kinds of groups are classified according to the individuals degree of utilization: a full-time group that provides resources at any time, and a custom-time group that provides resources only at designated times. We developed a resource manager that can turn on/off and schedule the SGE execution daemon; this manager performs as the core engine. The resource running time manager efficiently allocates and controls the members of affiliated computing resources.
dc.language
eng
dc.relation.ispartofseries
Cluster Computing
dc.title
The resource running time manager for integrated environment