1. Research Meeting 2009-11-19 Jaeseok Myung

2. Copyright  2009 by CEBT Summary  TA DB: 중간고사 채점 – 평균 : 66.04, 표준편차 : 18.29 – 지난학기 평균 : 59.33, 표준편자 : 15.42 WEC: classroom(301-101), 강사 (SKT, 정준용 매니저 )  서울대 멘토링 진행중 관리자 업무플로우, 금주 마감 예정 (3 주 ) 디비 스키마, 매칭 모듈 설계 진행 예정 (1~2 주 )  Research SPARQL BGP Processing with Iterative MR – Using finer keys for map tasks => Scailability – Using advanced storage for selection task => Performance – Using selectivity for BGP analysis – Using MR pipelining Center for E-Business Technology

3. Copyright  2009 by CEBT Using Advanced Storage for Selection Task Center for E-Business Technology SELECT ?A ?B ?C ?D … WHERE { ?A memberOf ?B. ?B type Univ. … } 1212 SPO a1memberOfb1 typeUniv ……… TP_NOAB… 1a1b1… 2 NULL… ……… Selection BigTablePP SOO SOO SOO SOO

4. Copyright  2009 by CEBT Optimization for Selection Task  Triple Indexing SP-O SO-P PS-O PO-S OS-P OP-S S-PO P-SO O-SP Center for E-Business Technology Jaeseok MemberOf ?X Jaeseok ?x IDS Jaeseok ?x ?y BigTablePP SOO SOO SOO SOO OO PSS PSS PSS PSS SS OPP OPP OPP OPP Up to 3 times bigger disk space is needed for eliminating full table scan Reducing the use of disk by using dictionary encoding............

5. Copyright  2009 by CEBT Optimization for Selection Task  Implementation Using Hadoop – HBase Adding Data Loader Component – N-Triple => HBase Implementation of Selection Tasks using HBase Comparison between N-Triple and Hbase  Dictionary Encoding Center for E-Business Technology