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Volumn , Issue , 2009, Pages 472-478

Accelerating MapReduce with distributed memory cache

Author keywords

Cluster computing; Distributed memory cache; High speed access; MapReduce

Indexed keywords

DISTRIBUTED MEMORY; HIGH-SPEED ACCESS; MAP TASK; PARALLEL PROGRAM; PARALLEL PROGRAMMING MODEL; SMALL-SCALE CLUSTERS;

EID: 77949641022     PISSN: 15219097     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1109/ICPADS.2009.88     Document Type: Conference Paper
Times cited : (38)

References (18)
  • 3
    • 37549003336 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, vol. 51, no. 1, 2008, pp. 107.
    • (2008) Communications of the ACM , vol.51 , Issue.1 , pp. 107
    • Dean, J.1    Ghemawat, S.2
  • 4
    • 56349085999 scopus 로고    scopus 로고
    • Google's MapReduce Programming Model - Revisited
    • ELSEVIER
    • R. Lämmel, "Google's MapReduce Programming Model - Revisited," Science of Computer Programming, ELSEVIER, vol. 70, 2008, pp. 1-30.
    • (2008) Science of Computer Programming , vol.70 , pp. 1-30
    • Lämmel, R.1
  • 5
    • 85076883048 scopus 로고    scopus 로고
    • Improving mapreduce performance in heterogeneous environm-ents
    • M. Zaharia, A. Konwinski, A. D. Joseph, R. Katz, and I. Stoica, "Improving mapreduce performance in heterogeneous environm-ents," OSDI, 2008, pp. 29-42.
    • (2008) OSDI , pp. 29-42
    • Zaharia, M.1    Konwinski, A.2    Joseph, A.D.3    Katz, R.4    Stoica, I.5
  • 8
    • 77949639269 scopus 로고    scopus 로고
    • Hive
    • Apache Software Foundation, Hive, http://hadoop.apache.org/ hive/.
  • 9
    • 77949595213 scopus 로고    scopus 로고
    • Apache Applications powered by Hadoop, http://wiki.apache. org/hadoop/PoweredBy.
    • Apache Applications powered by Hadoop, http://wiki.apache. org/hadoop/PoweredBy.
  • 11
    • 72049084511 scopus 로고    scopus 로고
    • S. Zhang, J. Han, Z. Liu, K. Wang and Z. Xu, SJMR: Parallelizing Spatial Join with MapReduce on Clusters, Cluster 09, New Orleans, Louisiana, USA, 2009.
    • S. Zhang, J. Han, Z. Liu, K. Wang and Z. Xu, "SJMR: Parallelizing Spatial Join with MapReduce on Clusters," Cluster 09, New Orleans, Louisiana, USA, 2009.
  • 12
  • 15
    • 77949628123 scopus 로고    scopus 로고
    • A. Bialecki, M. Cafarella, D. Cutting, and O. O'Malley, Hadoop: a framework for running applications on large clusters built of commodity hardware, Wiki at http://lucene .apache.org/hadoop.
    • A. Bialecki, M. Cafarella, D. Cutting, and O. O'Malley, "Hadoop: a framework for running applications on large clusters built of commodity hardware," Wiki at http://lucene .apache.org/hadoop.


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.