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Volumn , Issue , 2011, Pages 114-120

A data-aware workflow scheduling algorithm for heterogeneous distributed systems

Author keywords

Data intensive supercomputing; Grid and cluster computing; Large scale scientific computing; Large scale systems; Workflow scheduling

Indexed keywords

CO-SCHEDULING; COMPUTATION TIME; COMPUTING POWER; DATA INTENSIVE; HETEROGENEOUS DISTRIBUTED SYSTEMS; IMPROVE-A; IMPROVED ALGORITHM; OPTIMAL ALGORITHM; OPTIMAL SCHEDULING; REMOTE DATA; SCHEDULING PROBLEM; TIME EFFICIENCIES; WORKFLOW SCHEDULING;

EID: 80053038167     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1109/HPCSim.2011.5999814     Document Type: Conference Paper
Times cited : (5)

References (12)
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    • Kwok, Y.-K.1    Ahmad, I.2
  • 4
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    • Genetic scheduling for parallel processor systems: Comparative studies and performance issues
    • A. Y. Zomaya, C. Ward, and B. S. Macey. Genetic scheduling for parallel processor systems: Comparative studies and performance issues. IEEE Trans. Parallel Distrib. Syst., 10(8):795-812, 1999.
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* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.