7- https://doi.org/10.1007/978-3-642-45293-2_3
A User-Level NUMA-Aware Scheduler for Optimizing Virtual Machine Performance
- Jan 1, 2013
- Yuxia Cheng +4 more
Abstract Commodity servers deployed in the data centers are now typically using the Non-Uniform Memory Access (NUMA) architecture. The NUMA multicore servers provide scalable system performance and cost-effective property. However, virtual machines (VMs) running on NUMA systems will access remote memory and contend for shared on-chip resources, which will decrease the overall performance of VMs and reduce the efficiency, fairness, and QoS that a virtualized system is capable to provide. In this paper, we propose a “Best NUMA Node” based virtual machine scheduling algorithm and implement it in a user-level scheduler that can periodically adjust the placement of VMs running on NUMA systems. Experimental results show that our NUMA-aware virtual machine scheduling algorithm is able to improve VM performance by up to 23.4% compared with the default CFS (Completely Fair Scheduler) scheduler used in KVM. Moreover, the algorithm achieves more stable virtual machine performance.KeywordsNUMAvirtual machineschedulingmemory locality
- # Non-Uniform Memory Access Systems
- # Non-Uniform Memory Access
- # Virtual Machine Scheduling Algorithm
- # Non-Uniform Memory Access Node
- # Completely Fair Scheduler
- # Performance Of Virtual Machines
- # Virtual Machines
- # User-level Scheduler
- # Non-Uniform Memory Access Architecture
- # Memory Access Architecture
