Poster abstract - Application-agnostic batch workload management in cloud environments

Abstract

We present Scavenger, a reactive batch workload manager that opportunistically runs containerized batch jobs next to customer Virtual Machines (VMs) in a public cloud like setting to improve utilization. Scavenger dynamically regulates the resource usage of batch jobs, including CPU usage, memory capacity, and LLC capacity, to ensure that the customer VMs’ resource demand is met at all times. We experimentally evaluate Scavenger and show that it considerably increases resource usage without compromising on the resource demand of customer VMs. Importantly, Scavenger does so without requiring any offline profiling or prior information about the customer workloads.