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Volumn , Issue , 2011, Pages 169-182

Sierra: Practical power-proportionality for data center storage

Author keywords

Data center; Energy; Power proportionality

Indexed keywords

CAPACITY REQUIREMENT; COMPLEX OPTIMIZATION; COMPUTATIONAL LOADS; DATA CENTERS; DISTRIBUTED STORAGE; DIURNAL VARIATION; ENERGY; HOTMAIL; I/O WORKLOAD; LOAD LEVELS; MIGRATION TECHNIQUE; ON-LINE SERVICE; PERFORMANCE DEGRADATION; POWER SAVINGS; POWER-AWARE; POWER-PROPORTIONALITY; STORAGE STATE;

EID: 79955977868     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1145/1966445.1966461     Document Type: Conference Paper
Times cited : (124)

References (24)
  • 1
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  • 3
    • 77957965918 scopus 로고    scopus 로고
    • April URL
    • Amazon. Amazon EC2 spot instances, April 2010. URL http://aws.amazon.com/ ec2/spot-instances/.
    • (2010) Amazon EC2 Spot Instances
  • 5
    • 47249127725 scopus 로고    scopus 로고
    • The case for energy-proportional computing
    • Luiz André Barroso and Urs Hölzle. The case for energy-proportional computing. IEEE Computer, 40(12):33-37, 2007.
    • (2007) IEEE Computer , vol.40 , Issue.12 , pp. 33-37
    • Barroso, L.A.1    Hölzle, U.2
  • 15
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    • Viewstamped replication: A general primary copy method to support highly-available distributed systems
    • Toronto, Canada, August
    • Brian M. Oki and Barbara Liskov. Viewstamped replication: A general primary copy method to support highly-available distributed systems. In Proc. Symposium on Principles of Distributed Computing (PODC), Toronto, Canada, August 1988.
    • (1988) Proc. Symposium on Principles of Distributed Computing (PODC)
    • Oki, B.M.1    Liskov, B.2
  • 18
    • 0025564050 scopus 로고    scopus 로고
    • Implementing fault-tolerant services using the state machine approach: A tutorial
    • Schneider. Implementing fault-tolerant services using the state machine approach: A tutorial. CSURV: Computing Surveys, 22, 1990.
    • CSURV: Computing Surveys , vol.22 , pp. 1990
    • Schneider1


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.