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Volumn , Issue , 2014, Pages 243-255

Springfs: Bridging agility and performance in elastic distributed storage

Author keywords

[No Author keywords available]

Indexed keywords

ELASTICITY; MULTIPROCESSING SYSTEMS;

EID: 85056241412     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: None     Document Type: Conference Paper
Times cited : (30)

References (20)
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    • ISTC-CC Research, 2013. www.istc-cc.cmu.edu.
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    • Interactive analytical processing in big data systems: A cross industry study of mapreduce workloads
    • Y. Chen, S. Alspaugh, and R. Katz. Interactive analytical processing in big data systems: A cross industry study of mapreduce workloads. VLDB, 2012.
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    • Chen, Y.1    Alspaugh, S.2    Katz, R.3
  • 9
    • 80053019024 scopus 로고    scopus 로고
    • The case for evaluating mapreduce performance using workload suites
    • Y. Chen, A. Ganapathi, R. Griffith, and R. Katz. The case for evaluating mapreduce performance using workload suites. MASCOTS, 2011.
    • (2011) MASCOTS
    • Chen, Y.1    Ganapathi, A.2    Griffith, R.3    Katz, R.4
  • 10
    • 37549003336 scopus 로고    scopus 로고
    • MapReduce: Simplified data processing on large clusters
    • January
    • J. Dean and S. Ghemawat. Mapreduce: simplified data processing on large clusters. Communications of the ACM, 51:107–108, January 2008.
    • (2008) Communications of the ACM , vol.51 , pp. 107-108
    • Dean, J.1    Ghemawat, S.2
  • 12
    • 47349115733 scopus 로고    scopus 로고
    • Workload analysis and demand prediction of enterprise data center applications
    • D. Gmach, J. Rolia, L. Cherkasova, and A. Kemper. Workload analysis and demand prediction of enterprise data center applications. IISWC, 2007.
    • (2007) IISWC
    • Gmach, D.1    Rolia, J.2    Cherkasova, L.3    Kemper, A.4
  • 13
    • 77953977545 scopus 로고    scopus 로고
    • On the Energy (In)efficiency of Hadoop Clusters
    • J. Leverich and C. Kozyrakis. On the Energy (In)efficiency of Hadoop Clusters. HotPower, 2009.
    • (2009) HotPower
    • Leverich, J.1    Kozyrakis, C.2
  • 14
    • 79955577602 scopus 로고    scopus 로고
    • Dynamic right-sizing for power-proportional data centers
    • M. Lin, A. Wierman, L. L. Andrew, and E. Thereska. Dynamic right-sizing for power-proportional data centers. INFOCOM, 2011.
    • (2011) INFOCOM
    • Lin, M.1    Wierman, A.2    Andrew, L.L.3    Thereska, E.4
  • 15
    • 85047602645 scopus 로고    scopus 로고
    • Write off-loading: Practical power management for enterprise storage
    • Berkeley, CA, USA, USENIX Association
    • D. Narayanan, A. Donnelly, and A. Rowstron. Write Off-Loading: Practical Power Management for Enterprise Storage. In USENIX Conference on File and Storage Technologies, pages 1–15, Berkeley, CA, USA, 2008. USENIX Association.
    • (2008) USENIX Conference on File and Storage Technologies , pp. 1-15
    • Narayanan, D.1    Donnelly, A.2    Rowstron, A.3
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    • FAB: Building distributed enterprise disk arrays from commodity components
    • Y. Saito, S. Frølund, A. Veitch, A. Merchant, and S. Spence. FAB: Building Distributed Enterprise Disk Arrays from Commodity Components. In ASPLOS, pages 48–58, 2004.
    • (2004) ASPLOS , pp. 48-58
    • Saito, Y.1    Frølund, S.2    Veitch, A.3    Merchant, A.4    Spence, S.5
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    • Sierra: Practical power-proportionality for data center storage
    • E. Thereska, A. Donnelly, and D. Narayanan. Sierra: practical power-proportionality for data center storage. In EuroSys, pages 169–182, 2011.
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    • Thereska, E.1    Donnelly, A.2    Narayanan, D.3


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.