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Data-Aware Resource Scheduling for Multicloud Workflows: A Fine-Grained Simulation Approach

contributor authorTang, Wei
contributor authorJenkins, Jonathan
contributor authorMeyer, Folker
contributor authorRoss, Robert
contributor authorKettimuthu, Rajkumar
contributor authorWinkler, Linda
contributor authorYang, Xi
contributor authorLehman, Thomas
contributor authorDesai, Narayan
date accessioned2020-03-12T23:44:20Z
date available2020-03-12T23:44:20Z
date issued2014
identifier other7037779.pdf
identifier urihttps://libsearch.um.ac.ir:443/fum/handle/fum/1121411?show=full
formatgeneral
languageEnglish
publisherIEEE
titleData-Aware Resource Scheduling for Multicloud Workflows: A Fine-Grained Simulation Approach
typeConference Paper
contenttypeMetadata Only
identifier padid8298585
subject keywordsfinite element analysis
subject keywordsn induction motors
subject keywordsn response surface methodology
subject keywordsn rotors
subject keywordsn traction motors
subject keywordsn FEM
subject keywordsn RSM
subject keywordsn finite element method
subject keywordsn optimum design criteria
subject keywordsn power 250 kW
subject keywordsn premium efficiency
subject keywordsn response surface methodology
subject keywordsn rotor copper bar shape
subject keywordsn rotor dimensions variations
subject keywordsn rotor slot
subject keywordsn traction induction motor
subject keywordsn FEM
subject keywordsn RSM
subject keywordsn Traction induction motor
identifier doi10.1049/cp.2014.0223
filesize601737
citations1


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