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Volumn , Issue , 2009, Pages 143-150

Application level interoperability between clouds and grids

Author keywords

[No Author keywords available]

Indexed keywords

APPLICATION LEVEL; DISTRIBUTED APPLICATIONS; DISTRIBUTED INFRASTRUCTURE; HIGH-LEVEL PROGRAMMING; PERFORMANCE MODEL; PROBLEM INSTANCES; PROOF OF CONCEPT;

EID: 69949103693     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1109/GPC.2009.17     Document Type: Conference Paper
Times cited : (18)

References (9)
  • 1
    • 69949084585 scopus 로고    scopus 로고
    • C. Miceli et al, Programming Abstractions for Data-Intensive Computing on Clouds and Grids, submitted to International Workshop on Cloud Computing (Cloud 2009) held in conjunction with CCGrid 2009, Shangai. Draft available at http://www.cct.lsu.edu/~sjha/ publications/saga data intensive.pdf.
    • C. Miceli et al, Programming Abstractions for Data-Intensive Computing on Clouds and Grids, submitted to International Workshop on Cloud Computing (Cloud 2009) held in conjunction with CCGrid 2009, Shangai. Draft available at http://www.cct.lsu.edu/~sjha/ publications/saga data intensive.pdf.
  • 2
    • 69949103218 scopus 로고    scopus 로고
    • Developing Large-Scale Adaptive Scientific Applications with Hard to Predict Runtime Resource Requirements
    • available at
    • S. Jha et al Developing Large-Scale Adaptive Scientific Applications with Hard to Predict Runtime Resource Requirements, Proceedings of TeraGrid08, available at http://tinyurl.com/5du32j.
    • Proceedings of TeraGrid08
    • Jha, S.1
  • 6
    • 44949092292 scopus 로고    scopus 로고
    • Design and Implementation of Network Performance Aware Applications Using SAGA and Cactus
    • Bangalore, India
    • S Jha et al. Design and Implementation of Network Performance Aware Applications Using SAGA and Cactus. In Accepted for 3rd IEEE Conference on eScience2007 and Grid Computing, Bangalore, India., 2007.
    • (2007) Accepted for 3rd IEEE Conference on eScience2007 and Grid Computing
    • Jha, S.1


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.