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Volumn , Issue , 2009, Pages

Wave computing in the cloud

Author keywords

[No Author keywords available]

Indexed keywords

DATA INTENSIVE; INPUT STREAMS; PRODUCTION SYSTEM; RESOURCE UTILIZATIONS; TEMPORAL RELATIONSHIPS; WAVE COMPUTING; WAVE MODELING;

EID: 84863642719     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: None     Document Type: Conference Paper
Times cited : (18)

References (15)
  • 1
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    • Scheduling shared scans of large data files
    • P. Agrawal, D. Kifer, and C. Olston. Scheduling shared scans of large data files. Proc. VLDB Endow., 1(1):958-969, 2008.
    • (2008) Proc. VLDB Endow , vol.1 , Issue.1 , pp. 958-969
    • Agrawal, P.1    Kifer, D.2    Olston, C.3
  • 4
    • 85030321143 scopus 로고    scopus 로고
    • MapReduce: Simplified data processing on large clusters
    • J. Dean and S. Ghemawat. MapReduce: Simplified data processing on large clusters. In OSDI, 2004.
    • (2004) OSDI
    • Dean, J.1    Ghemawat, S.2
  • 5
    • 85092627102 scopus 로고    scopus 로고
    • Predicting multiple performance metrics for queries: Better decisions enabled by machine learning
    • A. Ganapathi, H. Kuno, U. Dayal, J. Wiener, A. Fox, M. Jordan, and D. Patterson. Predicting multiple performance metrics for queries: Better decisions enabled by machine learning. In IEEE ICDE, 2009.
    • (2009) IEEE ICDE
    • Ganapathi, A.1    Kuno, H.2    Dayal, U.3    Wiener, J.4    Fox, A.5    Jordan, M.6    Patterson, D.7
  • 6
    • 85092665611 scopus 로고    scopus 로고
    • Hadoop
    • Hadoop. http://hadoop.apache.org/.
  • 7
    • 34548041192 scopus 로고    scopus 로고
    • Dryad: distributed data-parallel programs from sequential building blocks
    • M. Isard, M. Budiu, Y. Yu, A. Birrell, and D. Fetterly. Dryad: distributed data-parallel programs from sequential building blocks. SIGOPS Oper. Syst. Rev., 41(3):59-72, 2007.
    • (2007) SIGOPS Oper. Syst. Rev , vol.41 , Issue.3 , pp. 59-72
    • Isard, M.1    Budiu, M.2    Yu, Y.3    Birrell, A.4    Fetterly, D.5
  • 11
    • 30344452311 scopus 로고    scopus 로고
    • Interpreting the data: Parallel analysis with Sawzall
    • R. Pike, S. Dorward, R. Griesemer, and S. Quinlan. Interpreting the data: Parallel analysis with Sawzall. Sci. Program., 13(4), 2005.
    • (2005) Sci. Program , vol.13 , Issue.4
    • Pike, R.1    Dorward, S.2    Griesemer, R.3    Quinlan, S.4
  • 12
    • 0005329070 scopus 로고
    • A categorized bibliography on incremental computation
    • G. Ramalingam and T. Reps. A categorized bibliography on incremental computation. In POPL, 1993.
    • (1993) POPL
    • Ramalingam, G.1    Reps, T.2
  • 13
    • 0039845422 scopus 로고    scopus 로고
    • Efficient and extensible algorithms for multi query optimization
    • P. Roy, S. Seshadri, S. Sudarshan, and S. Bhobe. Efficient and extensible algorithms for multi query optimization. SIGMOD Rec., 29(2), 2000.
    • (2000) SIGMOD Rec , vol.29 , Issue.2
    • Roy, P.1    Seshadri, S.2    Sudarshan, S.3    Bhobe, S.4
  • 14
    • 70350591395 scopus 로고    scopus 로고
    • DryadLINQ: A system for general-purpose distributed data-parallel computing using a high-level language
    • Y. Yu, M. Isard, D. Fetterly, M. Budiu, U. Erlingsson, P. K. Gunda, and J. Currey. DryadLINQ: A system for general-purpose distributed data-parallel computing using a high-level language. In OSDI, 2008.
    • (2008) OSDI
    • Yu, Y.1    Isard, M.2    Fetterly, D.3    Budiu, M.4    Erlingsson, U.5    Gunda, P. K.6    Currey, J.7
  • 15
    • 35548986654 scopus 로고    scopus 로고
    • Efficient exploitation of similar subexpressions for query processing
    • J. Zhou, P.-A. Larson, J.-C. Freytag, and W. Lehner. Efficient exploitation of similar subexpressions for query processing. In ACM SIGMOD, 2007.
    • (2007) ACM SIGMOD
    • Zhou, J.1    Larson, P.-A.2    Freytag, J.-C.3    Lehner, W.4


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.