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RCS: Hybrid Co-scheduling Optimization in Virtualized System

机译:RCS:虚拟化系统中的混合协同调度优化

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As a support technology for cloud computing, virtualization enables multiple guest operating systems run on a system, which will improve utilization of resource. However, due to the semantic gap in the virtualization system, the mainstream of the current scheduling policy doesn't take the tasks' spin lock and cache misses into account, which leads to the performance degradation in virtual machine. In this paper, we propose an optimization of the hybrid co-scheduling in KVM called Regional Co-Scheduling (RCS). Our solution includes two aspects: co-scheduling the vCPUs of the concurrent VM within CPU cores in the same CPU socket, and optimizing the load balancing by adding two strategies, which include that vCPUs belonging to the same VM should not be in the same queue and cross-region migration should be avoided. The experiment results show that RCS significantly reduces the execution time and context switches, compared with the default scheduler CFS and Co-Scheduling, and suffers less overhead as well, while when the number of VMs is large, it is with fair-share feature.
机译:作为云计算的支持技术,虚拟化使一个系统上运行多个来宾操作系统成为可能,这将提高资源利用率。但是,由于虚拟化系统中的语义差异,当前调度策略的主流并未考虑任务的自旋锁和缓存未命中,这导致虚拟机性能下降。在本文中,我们提出了KVM中混合协同调度的一种优化方法,称为区域协同调度(RCS)。我们的解决方案包括两个方面:在同一CPU插槽中的CPU内核内共同调度并发VM的vCPU,以及通过添加两种策略来优化负载平衡,其中包括属于同一VM的vCPU不应位于同一队列中并且应避免跨区域迁移。实验结果表明,与默认的调度程序CFS和协同调度相比,RCS显着减少了执行时间和上下文切换,并且开销也较小,而当VM数量较大时,具有公平共享功能。

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