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공공누리This item is licensed Korea Open Government License

dc.contributor.author
김준수
dc.contributor.author
김명호
dc.contributor.author
이경하
dc.date.accessioned
2019-08-28T07:42:11Z
dc.date.available
2019-08-28T07:42:11Z
dc.date.issued
2017-07-01
dc.identifier.issn
0916-8532
dc.identifier.uri
https://repository.kisti.re.kr/handle/10580/14706
dc.identifier.uri
http://www.ndsl.kr/ndsl/search/detail/article/articleSearchResultDetail.do?cn=NART88345752
dc.description.abstract
As both the number of queries and data size in applications increase, multi-query processing on the MapReduce framework has gained much attention.Meanwhile, skyline query processing has been gaining much interest due to its power of multi-criteria decision making and analysis.Recently, there have been attempts to optimize multi-query processing in MapReduce.However, they are not appropriate to process a batch of skyline queries efficiently and they also require modifications of the Hadoop internals.In this letter, we propose an efficient method for processing of multi-skyline queries with MapReduce without any modification of the Hadoop internals.Through various experiments, we show that our approach outperforms previous studies by orders of magnitude.
dc.language
eng
dc.relation.ispartofseries
IEICE Transactions on Information and Systems
dc.title
Simultaneous processing of multi-skyline queries with MapReduce
dc.citation.endPage
5
dc.citation.number
7
dc.citation.startPage
1
dc.citation.volume
E100-D
dc.subject.keyword
multi-query processing
dc.subject.keyword
skyline query
dc.subject.keyword
MapReduce
Appears in Collections:
7. KISTI 연구성과 > 학술지 발표논문
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