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Volumn , Issue , 2014, Pages 697-700

One DBMS for all: The brawny few and the wimpy crowd

Author keywords

Brawny; Energy efficiency; High performance; Wimpy

Indexed keywords

BENCHMARKING; DATABASE SYSTEMS; ENERGY EFFICIENCY; PROGRAM PROCESSORS; SHIPS; SMARTPHONES;

EID: 84904294192     PISSN: 07308078     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1145/2588555.2594527     Document Type: Conference Paper
Times cited : (9)

References (9)
  • 1
    • 84904336983 scopus 로고    scopus 로고
    • Apple. Data Management in iOS. https://developer.apple.com/technologies/ ios/data-management.html.
    • Data Management in IOS
  • 2
    • 79960167702 scopus 로고    scopus 로고
    • The mixed workload CH-benCHmark
    • R. Cole et al. The mixed workload CH-benCHmark. In DBTest, 2011.
    • (2011) DBTest
    • Cole, R.1
  • 3
    • 84904302946 scopus 로고    scopus 로고
    • Google
    • Google. Storage Options. http://developer.android.com/guide/topics/data/ data-storage.html#db.
  • 5
    • 79957859672 scopus 로고    scopus 로고
    • HyPer: A hybrid OLTP&OLAP main memory database system based on virtual memory snapshots
    • A. Kemper and T. Neumann. HyPer: A hybrid OLTP&OLAP main memory database system based on virtual memory snapshots. In ICDE, 2011.
    • (2011) ICDE
    • Kemper, A.1    Neumann, T.2
  • 7
    • 84863448825 scopus 로고    scopus 로고
    • Efficiently compiling efficient query plans for modern hardware
    • T. Neumann. Efficiently compiling efficient query plans for modern hardware. PVLDB, 4(9), 2011.
    • (2011) PVLDB , vol.4 , Issue.9
    • Neumann, T.1
  • 8
    • 84880554724 scopus 로고    scopus 로고
    • Energy-proportional query execution using a cluster of wimpy nodes
    • D. Schall and T. Härder. Energy-proportional query execution using a cluster of wimpy nodes. In DaMoN, 2013.
    • (2013) DaMoN
    • Schall, D.1    Härder, T.2
  • 9
    • 77954743447 scopus 로고    scopus 로고
    • Analyzing the energy efficiency of a database server
    • D. Tsirogiannis, S. Harizopoulos, and M. A. Shah. Analyzing the energy efficiency of a database server. In SIGMOD, 2010.
    • (2010) SIGMOD
    • Tsirogiannis, D.1    Harizopoulos, S.2    Shah, M.A.3


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.