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Volumn , Issue , 2010, Pages 413-420

AzureBlast: A case study of developing science applications on the cloud

Author keywords

BLAST; Cloud computing; Windows azure

Indexed keywords

BEST-PRACTICES; BLAST; CLOUD COMPUTING; CLOUD MODELS; COMPUTATIONALLY INTENSIVE ALGORITHMS; DATA INTENSIVE; LARGE-SCALE COMPUTING; LIFE-SCIENCES; MICROSOFT; NEW APPROACHES; PERFORMANCE EVALUATION; RESEARCH COMPUTING; SCIENCE APPLICATIONS; SCIENTIFIC APPLICATIONS; SCIENTIFIC COMPUTING; SCIENTIFIC RESEARCHES;

EID: 78650035595     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1145/1851476.1851537     Document Type: Conference Paper
Times cited : (83)

References (18)
  • 8
    • 37549003336 scopus 로고    scopus 로고
    • Mapreduce: Simplified data processing on large clusters
    • J. Dean and S. Ghemawat. Mapreduce: simplified data processing on large clusters. Commun. ACM, 51(1):107-113, 2008.
    • (2008) Commun. ACM , vol.51 , Issue.1 , pp. 107-113
    • Dean, J.1    Ghemawat, S.2
  • 13
    • 62749186138 scopus 로고    scopus 로고
    • Cloudblast: Combining mapreduce and virtualization on distributed resources for bioinformatics applications
    • A. Matsunaga, M. Tsugawa, and J. Fortes. Cloudblast: Combining mapreduce and virtualization on distributed resources for bioinformatics applications. eScience, IEEE International Conference on, 2008.
    • (2008) EScience, IEEE International Conference on
    • Matsunaga, A.1    Tsugawa, M.2    Fortes, J.3
  • 15
    • 65649120715 scopus 로고    scopus 로고
    • Cloudburst: Highly sensitive read mapping with mapreduce
    • June
    • M. C. Schatz. Cloudburst: highly sensitive read mapping with mapreduce. Bioinformatics, (11):1363-1369, June 2009.
    • (2009) Bioinformatics , Issue.11 , pp. 1363-1369
    • Schatz, M.C.1


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.