Workload-aware VM Scheduling on Multicore Systems

In virtualized environments, performance interference between virtual machines (VMs) is a key challenge. In order to mitigate resource contention, an efficient VM scheduling is positively necessary. In this paper, we propose a workload-aware VM scheduler on multi-core systems, which finds a system-wide mapping of VMs to physical cores. Our work aims not only at minimizing the number of used hosts, but at maximizing the system throughput. To achieve the first goal, our scheduler dynamically adjusts a set of used hosts. To achieve the second goal, it maps each VM on a physical core where the physical core and its host most sufficiently meet the resource requirements of the VM. Evaluation demonstrates that our scheduling ensures efficient use of data center resources.