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Volumn , Issue , 2010, Pages 17-24

Evaluating caching and storage options on the Amazon Web Services cloud

Author keywords

AWS; Caching strategies; Cloud storage; Cost

Indexed keywords

AMAZON WEB SERVICES; AWS; CACHE PLACEMENT; CACHE SIZE; CACHING STRATEGY; COST PERFORMANCE; DATA CACHES; DATA SIZE; IN-DEPTH STUDY; LARGE CLASS; LOWER COST; SCIENTIFIC APPLICATIONS;

EID: 79951611559     PISSN: 15505510     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1109/GRID.2010.5697949     Document Type: Conference Paper
Times cited : (22)

References (19)
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    • D. P. Anderson. Boinc: A system for public-resource computing and storage. In GRID '04: Proceedings of the 5th IEEE/ACM International Workshop on Grid Computing, pages 4-10, Washington, DC, USA, 2004. IEEE Computer Society. (Pubitemid 40752119)
    • (2004) Proceedings - IEEE/ACM International Workshop on Grid Computing , pp. 4-10
    • Anderson, D.P.1
  • 3
    • 68249129760 scopus 로고    scopus 로고
    • Above the clouds: A berkeley view of cloud computing
    • EECS Department, University of California, Berkeley, Feb
    • M. Armbrust, et al. Above the clouds: A berkeley view of cloud computing. Technical Report UCB/EECS-2009-28, EECS Department, University of California, Berkeley, Feb 2009.
    • (2009) Technical Report UCB/EECS-2009-28
    • Armbrust, M.1
  • 4
    • 79951626605 scopus 로고    scopus 로고
    • Amazon web services, http://aws.amazon.com.
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    • 79951651168 scopus 로고    scopus 로고
    • Amazon elastic mapreduce, http://aws.amazon.com/elasticmapreduce/.
  • 7
    • 78650802140 scopus 로고    scopus 로고
    • Elastic cloud caches for accelerating service-oriented computations
    • to appear
    • D. Chiu, A. Shetty, and G. Agrawal. Elastic cloud caches for accelerating service-oriented computations. In Supercomputing 2010 (SC'10) (to appear), 2010.
    • (2010) Supercomputing 2010 (SC'10)
    • Chiu, D.1    Shetty, A.2    Agrawal, G.3
  • 8
    • 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, pages 137-150, 2004.
    • (2004) OSDI , pp. 137-150
    • Dean, J.1    Ghemawat, S.2
  • 10
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    • Google app engine, http://code.google.com/appengine.
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    • Escience in the cloud: A modis satellite data reprojection and reduction pipeline in the windows azure platform
    • Washington, DC, USA. IEEE Computer Society
    • J. Li, et al. escience in the cloud: A modis satellite data reprojection and reduction pipeline in the windows azure platform. In IPDPS '10: Proceedings of the 2010 IEEE International Symposium on Parallel&Distributed Processing, Washington, DC, USA, 2010. IEEE Computer Society.
    • (2010) IPDPS '10: Proceedings of the 2010 IEEE International Symposium on Parallel&Distributed Processing
    • Li, J.1


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.