Improving server utilization via resource-adaptive batch VMs: poster

Abstract

Public cloud data centers often suffer from low resource utilization [1]. To increase utilization, recent works have proposed running batch workloads next to customer VMs to leverage idle resources [6]. While effective, the key challenge here is interference - the performance degradation of the colocated customer VMs due to resource contention with batch workload VMs at the underlying host server [5].