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공공누리This item is licensed Korea Open Government License

dc.contributor.author
이원구
dc.contributor.author
김재수
dc.contributor.author
손강렬
dc.contributor.author
최윤수
dc.date.accessioned
2019-08-28T07:41:37Z
dc.date.available
2019-08-28T07:41:37Z
dc.date.issued
2014-10-01
dc.identifier.issn
2095-2899
dc.identifier.uri
https://repository.kisti.re.kr/handle/10580/14352
dc.identifier.uri
http://www.ndsl.kr/ndsl/search/detail/article/articleSearchResultDetail.do?cn=NART71783153
dc.description.abstract
The rest of portion is under distributed processing. To ensure independence of distributed processing, each processing program has own working directory. After verification, distributed process environment for pre-processing performance can be improved up to 560.65% from single processing system. Also, file that is stored in NAS storage is moved to local storage during the processing of satellite image data and the processed results are saved into NAS storage. This method is compared with the baseline. Through the results, Conversion of Level-1B file to Level-2 file is CPU bound task, and local storage shows the greater Extensibility.
dc.language
eng
dc.relation.ispartofseries
Journal of Central South University of Technology
dc.title
Fast Distributed and Parallel Pre-processing on Massive Satellite Data Using Grid Computing
dc.subject.keyword
Satellite Data
dc.subject.keyword
Image Processing
dc.subject.keyword
Computation Intensive Computing
Appears in Collections:
7. KISTI 연구성과 > 학술지 발표논문
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