Scheduling Workloads of Workflows in Clusters and Clouds

This dissertation addresses three key challenges that are characteristic to the online scheduling of workloads of workflows in modern distributed computing systems. The first challenge is the realistic estimation of the resource demand of a workflow, as it is important for making good task placement and resource allocation decisions. Usually,...

The Impact of Task Runtime Estimate Accuracy on Scheduling Workloads of Workflows

Workflow schedulers often rely on task runtime estimates when making scheduling decisions, and they usually target the scheduling of a single workflow or batches of workflows. In contrast, in this paper, we evaluate the impact of the absence or limited accuracy of task runtime estimates on slowdown when scheduling complete workloads of workflows...

Flower: Workflow management and heat-aware scheduling for modern cloud infrastructures

Cloud computing has given users access to virtually infinite computing power. Cloud service providers operate data centers consisting of hundreds, sometimes thousands of interconnected machines. The machines dissipate heat that is undesirable because it may lead components to overheat. Air conditioners are used to cool the air and regulate the...