基于副本的跨数据中心虚拟机快速迁移算法
Fast cross-datacenter virtual machine migration algorithm based on duplication

跨广域网的虚拟机动态迁移是多数据中心云计算环境的重要技术支撑。与局域网上相比,跨广域网的动态迁移由于受到带宽的限制而面临更多的技术挑战。基于跨数据中心虚拟机迁移的特性,提出了多数据中心虚拟机快速动态迁移架构和跨数据中心快速动态镜像迁移(FlimCD)算法。FlimCD算法利用脏块去冗、缺块预取和热区排序传输等优化方法,减少了虚拟机整体迁移时间,并降低了迁移对性能的影响。实验表明: 对于中等I/O强度工作流,FlimCD算法的迁移时间比前拷贝方法的减少64.3%;FlimCD的优化机制使后拷贝阶段的缺块率下降49%以上。
Abstract：Live migration of virtual machines (VM) over wide-area networks (WAN) is key to cloud computing operations in a multi-datacenter environment. Compared with the migration over a local-area network (LAN), the live migration over a WAN faces more technical challenges due to the limited bandwidth. A live cross-datacenter VM migration infrastructure was developed in a fast live image migration cross-datacenters (FlimCD) method, which makes full use of dirty blocks deduplication, block pre-fetching and hot-area scheduled transmissions to reduce the overall migration time and the impact of the VM migration on the performance. Tests show that, for moderately I/O intensive workloads, the migration time is reduced by 64.3% compared with that of the pre-copy algorithm. The current optimization mechanisms reduce the block miss rate by 49% in the post-copy phase.