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Volumn , Issue , 2013, Pages

Building OLAP cubes on a Cloud Computing environment with MapReduce

Author keywords

[No Author keywords available]

Indexed keywords

ACADEMIC RESEARCH; CLOUD COMPUTING ENVIRONMENTS; LARGE COMPANIES; LARGE-SCALE DATA ANALYSIS; NON-RELATIONAL DATABASES; ON-LINE ANALYSIS; PHYSICAL CLUSTERS; UNSTRUCTURED DATA;

EID: 84887219017     PISSN: 21615322     EISSN: 21615330     Source Type: Conference Proceeding    
DOI: 10.1109/AICCSA.2013.6616498     Document Type: Conference Paper
Times cited : (17)

References (23)
  • 2
    • 84867407235 scopus 로고    scopus 로고
    • Misco: A mapreduce framework for mobile systems
    • ACM, New York, NY, USA
    • A.Dou, et.al. Misco: a mapreduce framework for mobile systems, in: Proceedings of the PETRA10, ACM, New York, NY, USA, 2010, pp. 32:132:8.
    • (2010) Proceedings of the PETRA10 , Issue.8 , pp. 32-132
    • Dou, A.1
  • 3
    • 84887223106 scopus 로고    scopus 로고
    • Hive a warehousing solution over a map-reduce framework
    • A.Thusoo, et. al. Hive a warehousing solution over a map-reduce framework. Facebook Data Infrastructure Team. 2009.
    • (2009) Facebook Data Infrastructure Team
    • Thusoo, A.1
  • 4
    • 70349755440 scopus 로고    scopus 로고
    • Programming abstractions for data intensive computing on clouds and grids
    • Washington, DC, USA
    • C.Miceli, et.al. Programming abstractions for data intensive computing on clouds and grids, in: Proceedings of the CCGRID09, IEEE Com-puter Society, Washington, DC, USA, 2009, pp. 478483.
    • (2009) Proceedings of the CCGRID09, IEEE Com-puter Society , pp. 478483
    • Miceli, C.1
  • 6
    • 30344488259 scopus 로고    scopus 로고
    • MapReduce: Simplified data processing on large clusters
    • J.Dean and S. Ghemawat. MapReduce: simplified data processing on large clusters.communications of the ACM, 2004.
    • (2004) Communications of the ACM
    • Dean, J.1    Ghemawat, S.2
  • 7
    • 0029752925 scopus 로고    scopus 로고
    • Data cube : A relational aggregation operator generalizing group-by, cross-tab, and sub-total
    • New Orleans, USA
    • J.Gray, et.al. Data cube : A relational aggregation operator generalizing group-by, cross-tab, and sub-total. In Proceedings of the International Conference on Data Engineering, pages 152159, New Orleans, USA, 1996.
    • (1996) Proceedings of the International Conference on Data Engineering , pp. 152-159
    • Gray, J.1
  • 11
    • 85011022992 scopus 로고    scopus 로고
    • On the correctness criteria of fine-grained access control in relational databases
    • Q. Wang, et.al. On The Correctness Criteria of Fine-Grained Access Control in Relational Databases. In Proceedings of VLDB, pages 555566, 2007.
    • (2007) Proceedings of VLDB , pp. 555-566
    • Wang, Q.1
  • 12
    • 84860560293 scopus 로고    scopus 로고
    • Scope easy and efficient parallel processing of massive data sets
    • R. Chaiken, et.al. Scope : easy and efficient parallel processing of massive data sets. PVLDB, 1(2) :12651276, 2008.
    • (2008) PVLDB , vol.1 , Issue.2 , pp. 1265-1276
    • Chaiken, R.1
  • 13
    • 84863063380 scopus 로고    scopus 로고
    • Mapreduce: Optimizing resource usages of data-parallel applications on multicore with tiling
    • ACM, New York, NY, USA
    • R.Chen, et.al. mapreduce: optimizing resource usages of data-parallel applications on multicore with tiling, in Proceedings of the 19th PACT10, ACM, New York, NY, USA, 2010, pp. 523534.
    • (2010) Proceedings of the 19th PACT10 , pp. 523534
    • Chen, R.1
  • 14
    • 84887227383 scopus 로고    scopus 로고
    • Cloudlet: Towards mapreduce im-plementation on virtual machines
    • ACM, New York, NY, USA
    • S.Ibrahim,et.al. Cloudlet: towards mapreduce im-plementation on virtual machines, in: Proceedings of the 18th ACM HPDC09, ACM, New York, NY, USA, 2009, pp. 6566.
    • (2009) Proceedings of the 18th ACM HPDC09 , pp. 6566
    • Ibrahim, S.1
  • 19
    • 84887237477 scopus 로고    scopus 로고
    • Apache Hive Releases
    • Apache Hive Releases. Web page. http://hive.apache.org/releases.html
  • 20
    • 84887260570 scopus 로고    scopus 로고
    • Amazon EC2. Web page. http://aws.amazon.com/ec2/
  • 21
    • 84887246706 scopus 로고    scopus 로고
    • Microsoft azure. Web page. http://www.microsoft.com/windowsazure/
  • 22
    • 84887239147 scopus 로고    scopus 로고
    • Star Schma Benchmark
    • Star Schma Benchmark. Web page. http://www.cs.umb.edu/poneil/StarSchemaB. pdf
  • 23
    • 84887245402 scopus 로고    scopus 로고
    • Cloudera Entreprise and CDH4.0
    • Cloudera Entreprise and CDH4.0. Web page. http://www.cloudera.com//blog/ 2012/06/cdh4-and-cloudera-enterprise-4-0-now-available/


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.