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Volumn 5, Issue 7, 2012, Pages 598-609

PerfXplain: Debugging MapReduce job performance

Author keywords

[No Author keywords available]

Indexed keywords

DATA MINING; DECISION TREES; QUERY LANGUAGES; TREES (MATHEMATICS);

EID: 84863739408     PISSN: None     EISSN: 21508097     Source Type: Conference Proceeding    
DOI: 10.14778/2180912.2180913     Document Type: Article
Times cited : (52)

References (52)
  • 1
    • 85039680712 scopus 로고    scopus 로고
    • Amazon EC2
    • Amazon EC2. http://aws.amazon.com/ec2/.
  • 2
    • 85039678940 scopus 로고    scopus 로고
    • Ganglia Monitoring System
    • Ganglia Monitoring System. http://www.ganglia.sourceforge.net.
  • 3
    • 85039687499 scopus 로고    scopus 로고
    • MySQL Query Analyzer
    • MySQL Query Analyzer. http://www.mysql.com/products/enterprise/query.html.
  • 4
    • 85039676459 scopus 로고    scopus 로고
    • PostgreSQL Tuning Wizard
    • PostgreSQL Tuning Wizard. http://pgfoundry.org/projects/pgtune.
  • 5
    • 85039676784 scopus 로고    scopus 로고
    • Tuning Your PostgreSQL Server
    • Tuning Your PostgreSQL Server. http://wiki.postgresql.org/wiki/Tuning_Your_PostgreSQL_Server.
  • 8
    • 0039785178 scopus 로고    scopus 로고
    • Automated Selection of Materialized Views and Indexes in SQL Databases
    • S. Agrawal, S. Chaudhuri, and V. R. Narasayya. Automated Selection of Materialized Views and Indexes in SQL Databases. In Proc. of the 26th VLDB Conf., pages 496-505, 2000.
    • (2000) Proc. of the 26th VLDB Conf. , pp. 496-505
    • Agrawal, S.1    Chaudhuri, S.2    Narasayya, V.R.3
  • 15
    • 0032094083 scopus 로고    scopus 로고
    • AutoAdmin What-if Index Analysis Utility
    • June
    • S. Chaudhuri and V. Narasayya. AutoAdmin What-if Index Analysis Utility. SIGMOD Rec., 27:367-378, June 1998.
    • (1998) SIGMOD Rec. , vol.27 , pp. 367-378
    • Chaudhuri, S.1    Narasayya, V.2
  • 16
    • 84994164569 scopus 로고    scopus 로고
    • An Efficient Cost-Driven Index Selection Tool for Microsoft SQL Server
    • S. Chaudhuri and V. R. Narasayya. An Efficient Cost-Driven Index Selection Tool for Microsoft SQL Server. In Proc. of the 23rd VLDB Conf., pages 146-155, 1997.
    • (1997) Proc. of the 23rd VLDB Conf. , pp. 146-155
    • Chaudhuri, S.1    Narasayya, V.R.2
  • 19
    • 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 Proc. of the 6th OSDI Symp., pages 137-149, 2004.
    • (2004) Proc. of the 6th OSDI Symp. , pp. 137-149
    • Dean, J.1    Ghemawat, S.2
  • 20
    • 80053521271 scopus 로고    scopus 로고
    • Hadoop++: Making a Yellow Elephant Run Like a Cheetah (Without It Even Noticing)
    • September
    • J. Dittrich, J.-A. Quiané-Ruiz, A. Jindal, Y. Kargin, V. Setty, and J. Schad. Hadoop++: Making a Yellow Elephant Run Like a Cheetah (Without It Even Noticing). Proc. VLDB Endow., 3:515-529, September 2010.
    • (2010) Proc. VLDB Endow. , vol.3 , pp. 515-529
    • Dittrich, J.1    Quiané-Ruiz, J.-A.2    Jindal, A.3    Kargin, Y.4    Setty, V.5    Schad, J.6
  • 22
    • 79953889531 scopus 로고    scopus 로고
    • Tuning Database Configuration Parameters with iTuned
    • S. Duan, V. Thummala, and S. Babu. Tuning Database Configuration Parameters with iTuned. PVLDB, 2(1):1246-1257, 2009.
    • (2009) PVLDB , vol.2 , Issue.1 , pp. 1246-1257
    • Duan, S.1    Thummala, V.2    Babu, S.3
  • 23
    • 85039687561 scopus 로고    scopus 로고
    • My Excite
    • My Excite. http://www.excite.com/.
  • 24
  • 25
    • 80053267454 scopus 로고    scopus 로고
    • A Case for Machine Learning to Optimize Multicore Performance
    • A. Ganapathi, K. Datta, A. Fox, and D. Patterson. A Case for Machine Learning to Optimize Multicore Performance. In HotPar, 2009.
    • (2009) HotPar
    • Ganapathi, A.1    Datta, K.2    Fox, A.3    Patterson, D.4
  • 27
    • 85039684742 scopus 로고    scopus 로고
    • Greenplum Database
    • Greenplum Database. http://www.greenplum.com/.
  • 28
    • 85039677214 scopus 로고    scopus 로고
    • Hadoop.
    • Hadoop. http://hadoop.apache.org/.
  • 29
    • 84859229821 scopus 로고    scopus 로고
    • Xplus: a SQL-Tuning-Aware Query Optimizer
    • H. Herodotou and S. Babu. Xplus: a SQL-Tuning-Aware Query Optimizer. Proc. VLDB Endow., 3:1149-1160, 2010.
    • (2010) Proc. VLDB Endow , vol.3 , pp. 1149-1160
    • Herodotou, H.1    Babu, S.2
  • 31
    • 85039689668 scopus 로고    scopus 로고
    • Hive
    • Hive. http://hadoop.apache.org/hive/.
  • 32
    • 85039681045 scopus 로고    scopus 로고
    • IBM. DB2 Performance Tuning using the DB2 Configuration Advisor
    • IBM. DB2 Performance Tuning using the DB2 Configuration Advisor. http://www.ibm.com/developerworks/data/library/techarticle/dm-0605shastry/index.html.
  • 34
    • 84863535860 scopus 로고    scopus 로고
    • Automatic Optimization for MapReduce Programs
    • E. Jahani, M. Cafarella, and C. Re. Automatic Optimization for MapReduce Programs. PVLDB, 4(6):385-396, 2011.
    • (2011) PVLDB , vol.4 , Issue.6 , pp. 385-396
    • Jahani, E.1    Cafarella, M.2    Re, C.3
  • 35
    • 81055143288 scopus 로고    scopus 로고
    • The Performance of MapReduce: An In-depth Study
    • D. Jiang, B. C. Ooi, L. Shi, and S. Wu. The Performance of MapReduce: An In-depth Study. PVLDB, 3:472-483, 2010.
    • (2010) PVLDB , vol.3 , pp. 472-483
    • Jiang, D.1    Ooi, B.C.2    Shi, L.3    Wu, S.4
  • 36
    • 84863774152 scopus 로고    scopus 로고
    • MATLAB. version 7.10.0 (R2010a). The MathWorks Inc.
    • MATLAB. version 7.10.0 (R2010a). The MathWorks Inc., 2010.
    • (2010)
  • 39
    • 85039684870 scopus 로고    scopus 로고
    • Netezza, inc.
    • Netezza, inc. http://www.netezza.com/.
  • 43
    • 79961135005 scopus 로고    scopus 로고
    • R Development Core Team. R Foundation for Statistical Computing, Vienna, Austria
    • R Development Core Team. R: A Language and Environment for Statistical Computing. R Foundation for Statistical Computing, Vienna, Austria, 2011.
    • (2011) R: A Language and Environment for Statistical Computing
  • 44
    • 0002790068 scopus 로고    scopus 로고
    • An Adaptation of Relief for Attribute Estimation in Regression
    • D. H. Fisher, editor, Morgan Kaufmann
    • M. Robnik-Sikonja and I. Kononenko. An Adaptation of Relief for Attribute Estimation in Regression. In D. H. Fisher, editor, Fourteenth International Conference on Machine Learning, pages 296-304. Morgan Kaufmann, 1997.
    • (1997) Fourteenth International Conference on Machine Learning , pp. 296-304
    • Robnik-Sikonja, M.1    Kononenko, I.2
  • 45
    • 80053503082 scopus 로고    scopus 로고
    • Runtime Measurements in the Cloud: Observing, Analyzing, and Reducing Variance
    • J. Schad, J. Dittrich, and J.-A. Quiané-Ruiz. Runtime Measurements in the Cloud: Observing, Analyzing, and Reducing Variance. PVLDB, 3:460-471, 2010.
    • (2010) PVLDB , vol.3 , pp. 460-471
    • Schad, J.1    Dittrich, J.2    Quiané-Ruiz, J.-A.3
  • 46
    • 85039675984 scopus 로고    scopus 로고
    • StratoSphere: Above the Clouds
    • StratoSphere: Above the Clouds. http://www.stratosphere.eu/.
  • 47
    • 85039674096 scopus 로고    scopus 로고
    • Teradata, Inc.
    • Teradata, Inc. http://www.teradata.com/.
  • 48
    • 77954700717 scopus 로고    scopus 로고
    • iTuned: a Tool for Configuring and Visualizing Database Parameters
    • V. Thummala and S. Babu. iTuned: a Tool for Configuring and Visualizing Database Parameters. In Proc. of the SIGMOD Conf., pages 1231-1234, 2010.
    • (2010) Proc. of the SIGMOD Conf. , pp. 1231-1234
    • Thummala, V.1    Babu, S.2


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