Learning budget assignment policies for autoscaling scientific workflows in the cloud
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DOI: 10.1007/s10586-018-02902-0
Abstract: Autoscalers exploit cloud-computing elasticity to cope with the dynamic computational demands of scientific workflows. Autoscalers constantly acquire or terminate virtual machines (VMs) on-the-fly to execute workflows minimizing makespan and economic cost. One key problem of… read more here.
Keywords: workflows cloud; budget assignment; learning budget; budget ... See more keywords