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Volumn 36, Issue 4, 2007, Pages 7-12

A critical look at the TAB benchmark for physical design tools

Author keywords

[No Author keywords available]

Indexed keywords

BENCHMARKING; MACHINE DESIGN;

EID: 41849124940     PISSN: 01635808     EISSN: None     Source Type: Journal    
DOI: 10.1145/1361348.1361349     Document Type: Conference Paper
Times cited : (5)

References (15)
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    • Automated selection of materialized views and indexes in SQL databases
    • S. Agrawal, S. Chaudhuri, and V. Narasayya. Automated selection of materialized views and indexes in SQL databases. In Proceedings of VLDB, 2000.
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    • Agrawal, S.1    Chaudhuri, S.2    Narasayya, V.3
  • 3
    • 33745605073 scopus 로고    scopus 로고
    • Database Tuning Advisor for Microsoft SQL Server 2005
    • S. Agrawal et al. Database Tuning Advisor for Microsoft SQL Server 2005. In Proceedings of VLDB, 2004.
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    • Agrawal, S.1
  • 4
    • 3142782213 scopus 로고    scopus 로고
    • Integrating vertical and horizontal, partitioning into automated physical database design
    • S. Agrawal, V. Narasayya, and B. Yang. Integrating vertical and horizontal, partitioning into automated physical database design. In Proceedings of SIGMOD, 2004.
    • (2004) Proceedings of SIGMOD
    • Agrawal, S.1    Narasayya, V.2    Yang, B.3
  • 5
    • 29844447140 scopus 로고    scopus 로고
    • Automatic physical database tuning: A relaxation-based approach
    • N. Bruno and S. Chaudhuri. Automatic physical database tuning: A relaxation-based approach. In Proceedings of SIGMOD, 2005.
    • (2005) Proceedings of SIGMOD
    • Bruno, N.1    Chaudhuri, S.2
  • 6
    • 37549066274 scopus 로고    scopus 로고
    • To tune or not to tune? A Lightweight Physical Design Alerter
    • N. Bruno and S. Chaudhuri. To tune or not to tune? A Lightweight Physical Design Alerter. In Proceedings of VLDB, 2006.
    • (2006) Proceedings of VLDB
    • Bruno, N.1    Chaudhuri, S.2
  • 7
    • 13844271967 scopus 로고    scopus 로고
    • Index selection for databases: A hardness study and a principled heuristic solution
    • S. Chaudhuri, M. Datar, and V. Narasayya. Index selection for databases: A hardness study and a principled heuristic solution. In IEEE Trans. Knowl. Data Eng. 16(11), 2004.
    • (2004) IEEE Trans. Knowl. Data Eng , vol.16 , Issue.11
    • Chaudhuri, S.1    Datar, M.2    Narasayya, V.3
  • 8
    • 84994164569 scopus 로고    scopus 로고
    • An efficient cost-driven index selection tool for Microsoft SQL Server
    • S. Chaudhuri and V. Narasayya. An efficient cost-driven index selection tool for Microsoft SQL Server. In Proceedings of VLDB, 1997.
    • (1997) Proceedings of VLDB
    • Chaudhuri, S.1    Narasayya, V.2
  • 10
    • 85016161371 scopus 로고    scopus 로고
    • Automatic SQL Tuning in Oracle 10g
    • B. Dageville et al. Automatic SQL Tuning in Oracle 10g. In Proceedings of VLDB, 2004.
    • (2004) Proceedings of VLDB
    • Dageville, B.1
  • 13
    • 18444400543 scopus 로고    scopus 로고
    • The protein information resource: An integrated public resource of functional annotation of proteins
    • C. Wu et al. The protein information resource: an integrated public resource of functional annotation of proteins. In Nucleic Acids Research, 2002.
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  • 14
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    • DB2 design advisor: Integrated automatic physical database design
    • D. Zilio et al. DB2 design advisor: Integrated automatic physical database design. In Proceedings of VLDB, 2004.
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  • 15
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    • D. Zilio et al. Recommending materialized views and indexes with IBM DB2 design advisor. In International Conference on Autonomic Computing, 2004.
    • D. Zilio et al. Recommending materialized views and indexes with IBM DB2 design advisor. In International Conference on Autonomic Computing, 2004.


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.