Multiobjective level-wise scientific workflow optimization in iaas public cloud environment

HIGHLIGHTS

• who: Phyo Thandar Thant and colleagues from the Graduate School of Information Science and Technology, Hokkaido University, Sapporo, Japan have published the research work: Multiobjective Level-Wise Scientific Workflow Optimization in IaaS Public Cloud Environment, in the Journal: Scientific Programming of 21/Dec/2017
• what: This research work focuses on optimization of scientific workflow executions in the cloud through multiobjective evolutionary algorithms such as SPEA2 and NSGA-II.
• how: The authors assumed that all DAG workflows have only one 𝑇entry and one 𝑇exit and optimization is considered for the actual processing steps inside . . .
  

   

  

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