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Volumn , Issue , 2013, Pages

Scale-up vs scale-out for hadoop: Time to rethink?

Author keywords

[No Author keywords available]

Indexed keywords

COMPUTER PROGRAMMING; COMPUTER SCIENCE;

EID: 84893331360     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1145/2523616.2523629     Document Type: Conference Paper
Times cited : (130)

References (33)
  • 4
    • 84893260717 scopus 로고    scopus 로고
    • Accessed: 08/09/2011
    • Apache Hadoop. http://hadoop.apache.org/. Accessed: 08/09/2011.
  • 5
    • 84893304201 scopus 로고    scopus 로고
    • Accessed: 02/07/2013
    • Apache Mahout. http://mahout.apache.org/. Accessed: 02/07/2013.
  • 6
    • 84893284857 scopus 로고    scopus 로고
    • Accessed: 02/07/2013
    • Apache Pig Wiki. http://wiki.apache.org/pig/PigPerformance. Accessed: 02/07/2013.
    • Apache Pig Wiki
  • 8
    • 84893307226 scopus 로고    scopus 로고
    • Accessed: 02/07/2013
    • J. Bonwick. ZFS End-to-End Data Integrity. https://blogs.oracle.com/ bonwick/entry/zfs-end-to-end-data. Accessed: 02/07/2013. 2005.
    • (2005) ZFS End-to-End Data Integrity
    • Bonwick, J.1
  • 12
    • 84873134968 scopus 로고    scopus 로고
    • Interactive analytical processing in big data systems: A cross-industry study of MapReduce workloads
    • Y. Chen, S. Alspaugh, and R. H. Katz. "Interactive Analytical Processing in Big Data Systems: A Cross-Industry Study of MapReduce Workloads,". PVLDB 5.12 (2012), pp. 1802-1813.
    • (2012) PVLDB 5.12 , pp. 1802-1813
    • Chen, Y.1    Alspaugh, S.2    Katz, R.H.3
  • 13
    • 84893306333 scopus 로고    scopus 로고
    • Accessed: 02/07/2013
    • Cloudera. Tips and Guidelines: Improving Performance. http://www.cloudera.com/content/cloudera-content/cloudera-docs/CDH4/4.2.0/ CDH4-Installation-Guide/cdh4ig-topic-11-6.html. Accessed: 02/07/2013.
    • Tips and Guidelines: Improving Performance
  • 14
    • 85030321143 scopus 로고    scopus 로고
    • MapReduce: Simplified data processing on large clusters
    • J. Dean and S. Ghemawat. "MapReduce: Simplified Data Processing on Large Clusters,". OSDI. 2004.
    • (2004) OSDI
    • Dean, J.1    Ghemawat, S.2
  • 15
    • 0026870271 scopus 로고
    • Parallel database systems: The future of high performance database systems
    • D. DeWitt and J. Gray. "Parallel Database Systems: The Future of High Performance Database Systems,". Communications of the ACM 35.6 (1992), pp. 85-98.
    • (1992) Communications of the ACM , vol.35 , Issue.6 , pp. 85-98
    • DeWitt, D.1    Gray, J.2
  • 16
    • 84891073814 scopus 로고    scopus 로고
    • Piranha: Optimizing short jobs in hadoop
    • K. Elmeleegy. "Piranha: Optimizing Short Jobs In Hadoop,". VLDB. 2013.
    • (2013) VLDB
    • Elmeleegy, K.1
  • 31
    • 84876174360 scopus 로고    scopus 로고
    • Accessed: 08/09/2011
    • Windows Azure Storage. http://www.microsoft.com/windowsazure/features/ storage/. Accessed: 08/09/2011.
    • Windows Azure Storage


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.