메뉴 건너뛰기




Volumn , Issue , 2013, Pages 742-752

Hourglass: A library for incremental processing on Hadoop

Author keywords

[No Author keywords available]

Indexed keywords

BIG DATA; INTERFACE STATES; SEMANTICS; SOCIAL NETWORKING (ONLINE);

EID: 84893318699     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1109/BigData.2013.6691647     Document Type: Conference Paper
Times cited : (16)

References (26)
  • 3
    • 84858615083 scopus 로고    scopus 로고
    • The haloop approach to large-scale iterative data analysis
    • Apr
    • Y. Bu, B. Howe, M. Balazinska, and M. D. Ernst. The HaLoop approach to large-scale iterative data analysis. The VLDB Journal, 21(2):169-190, Apr. 2012.
    • (2012) The VLDB Journal , vol.21 , Issue.2 , pp. 169-190
    • Bu, Y.1    Howe, B.2    Balazinska, M.3    Ernst, M.D.4
  • 6
    • 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
  • 7
    • 84893234795 scopus 로고    scopus 로고
    • Hyperloglog: The analysis of a near-optimal cardinality estimation algorithm
    • P. Flajolet, ́ E. Fusy, O. Gandouet, and F. Meunier. Hyperloglog: the analysis of a near-optimal cardinality estimation algorithm. DMTCS Proceedings, (1), 2008.
    • (2008) DMTCS Proceedings , Issue.1
    • Flajolet, P.1    Fusy, E.2    Gandouet, O.3    Meunier, F.4
  • 8
    • 80053488113 scopus 로고    scopus 로고
    • Nectar: Automatic management of data and computation in datacenters
    • P. K. Gunda, L. Ravindranath, C. A. Thekkath, Y. Yu, and L. Zhuang. Nectar: automatic management of data and computation in datacenters. In OSDI, pages 1-8, 2010.
    • (2010) OSDI , pp. 1-8
    • Gunda, P.K.1    Ravindranath, L.2    Thekkath, C.A.3    Yu, Y.4    Zhuang, L.5
  • 10
    • 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. In EuroSys, pages 59-72, 2007.
    • (2007) EuroSys , pp. 59-72
    • Isard, M.1    Budiu, M.2    Yu, Y.3    Birrell, A.4    Fetterly, D.5
  • 11
    • 84873206169 scopus 로고    scopus 로고
    • The unified logging infrastructure for data analytics at Twitter
    • Aug
    • G. Lee, J. Lin, C. Liu, A. Lorek, and D. Ryaboy. The unified logging infrastructure for data analytics at Twitter. Proc. VLDB Endow., 5(12):1771-1780, Aug. 2012.
    • (2012) Proc. VLDB Endow. , vol.5 , Issue.12 , pp. 1771-1780
    • Lee, G.1    Lin, J.2    Liu, C.3    Lorek, A.4    Ryaboy, D.5
  • 13
    • 84893291305 scopus 로고    scopus 로고
    • Monoidify! monoids as a design principle for efficient mapreduce algorithms
    • J. Lin. Monoidify! monoids as a design principle for efficient mapreduce algorithms. CoRR, abs/1304.7544, 2013.
    • (2013) CoRR, abs/1304.7544
    • Lin, J.1
  • 14
    • 80052308822 scopus 로고    scopus 로고
    • Towards systematic parallel programming over mapreduce
    • Springer
    • Y. Liu, Z. Hu, and K. Matsuzaki. Towards systematic parallel programming over mapreduce. In Euro-Par 2011 Parallel Processing, pages 39-50. Springer, 2011.
    • (2011) Euro-Par 2011 Parallel Processing , pp. 39-50
    • Liu, Y.1    Hu, Z.2    Matsuzaki, K.3
  • 16
    • 77954926935 scopus 로고    scopus 로고
    • Stateful bulk processing for incremental analytics
    • D. Logothetis, C. Olston, B. Reed, K. C. Webb, and K. Yocum. Stateful bulk processing for incremental analytics. In SoCC, pages 51-62, 2010.
    • (2010) SoCC , pp. 51-62
    • Logothetis, D.1    Olston, C.2    Reed, B.3    Webb, K.C.4    Yocum, K.5
  • 17
    • 55349148888 scopus 로고    scopus 로고
    • Pig latin: A not-so-foreign language for data processing
    • C. Olston, B. Reed, U. Srivastava, R. Kumar, and A. Tomkins. Pig Latin: a not-so-foreign language for data processing. In SIGMOD, pages 1099-1110, 2008.
    • (2008) SIGMOD , pp. 1099-1110
    • Olston, C.1    Reed, B.2    Srivastava, U.3    Kumar, R.4    Tomkins, A.5
  • 19
    • 80052184829 scopus 로고    scopus 로고
    • Large-scale incremental processing using distributed transactions and notifications
    • D. Peng and F. Dabek. Large-scale incremental processing using distributed transactions and notifications. In OSDI, pages 1-15, 2010.
    • (2010) OSDI , pp. 1-15
    • Peng, D.1    Dabek, F.2
  • 20
    • 85047363692 scopus 로고    scopus 로고
    • DryadInc: Reusing work in large-scale computations
    • L. Popa, M. Budiu, Y. Yu, and M. Isard. DryadInc: reusing work in large-scale computations. In HotCloud, 2009.
    • (2009) HotCloud
    • Popa, L.1    Budiu, M.2    Yu, Y.3    Isard, M.4
  • 21
    • 84893312957 scopus 로고    scopus 로고
    • Mapreduce with deltas
    • Universitt Koblenz-Landau, Campus Koblenz
    • D. Saile. Mapreduce with deltas. Master's thesis, Universitt Koblenz-Landau, Campus Koblenz, 2011.
    • (2011) Master's Thesis
    • Saile, D.1
  • 23
    • 84880545553 scopus 로고    scopus 로고
    • The "big data" ecosystem at linkedin
    • R. Sumbaly, J. Kreps, and S. Shah. The "Big Data" ecosystem at LinkedIn. In SIGMOD, 2013.
    • (2013) SIGMOD
    • Sumbaly, R.1    Kreps, J.2    Shah, S.3
  • 25
    • 84896759783 scopus 로고    scopus 로고
    • Hadoop: The definitive guide
    • T. White. Hadoop: The Definitive Guide. O'Reilly Media, 2010.
    • (2010) O'Reilly Media
    • White, T.1
  • 26
    • 72249089011 scopus 로고    scopus 로고
    • Distributed aggregation for data-parallel computing: Interfaces and implementations
    • Y. Yu, P. K. Gunda, and M. Isard. Distributed aggregation for data-parallel computing: interfaces and implementations. In SOSP, pages 247-260, 2009.
    • (2009) SOSP , pp. 247-260
    • Yu, Y.1    Gunda, P.K.2    Isard, M.3


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.