Zhaoning Zhang, Ziyang Li, Kui Wu, Huiba Li, Yuxing Peng, Xicheng Lu
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引用次数: 0
Abstract
As a key technique in cloud computing, live virtual machine (VM) migration makes cloud computing elastic and renders more efficient resource scheduling. In many cases, live storage migration is also desirable. Compared to live VM migration, however, live storage migration is relatively slow. The speed gap between live VM migration and live storage migration may lead to poor Quality of Service (QoS) for cloud users. In this paper, we present a new resource migration scheme, called Decoupled Live Storage Migration (DLSM), which decouples the live storage migration from the live VM migration. DLSM can migrate the VM immediately, while data blocks actually required by the VM are moved on demand at later times. It achieves the on-demand data migration at the storage level without the need of modifying the hypervisor. The key contribution of DLSM is that it reduces the network traffic and speeds up the live storage migration, by completely eliminating iterative copy of dirty data over the network. This good property is achieved without relying on any tracking mechanism for dirty data blocks. Experimental evaluation demonstrates the efficiency and effectiveness of DLSM.
动态虚拟机迁移作为云计算的一项关键技术,使云计算具有弹性,实现更高效的资源调度。在许多情况下,实时存储迁移也是可取的。但是,与虚拟机热迁移相比,存储热迁移速度相对较慢。虚拟机热迁移和存储热迁移之间的速度差距可能会导致云用户的QoS (Quality of Service)差。在本文中,我们提出了一种新的资源迁移方案,称为解耦动态存储迁移(DLSM),它将动态存储迁移与动态虚拟机迁移解耦。DLSM可以立即迁移VM,而VM实际需要的数据块则在以后按需移动。它可以在不修改hypervisor的情况下实现存储级的按需数据迁移。DLSM的主要贡献在于,它通过完全消除网络上脏数据的迭代复制,减少了网络流量,加快了实时存储迁移。这种良好的特性是在不依赖于任何脏数据块跟踪机制的情况下实现的。实验验证了该方法的有效性和有效性。