Fast Live Migration with Small IO Performance Penalty by Exploiting SAN in Parallel

Fast Live Migration with Small IO Performance Penalty by Exploiting SAN in Parallel
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DOI:
10.1109/cloud.2014.16
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发表时间:
2014-06
期刊:
2014 IEEE 7th International Conference on Cloud Computing
影响因子:
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通讯作者:
Soramichi Akiyama;Takahiro Hirofuchi;Ryousei Takano;S. Honiden
Soramichi Akiyama;Takahiro Hirofuchi;Ryousei Takano;S. Honiden
中科院分区:
其他
文献类型:
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作者:
Soramichi Akiyama;Takahiro Hirofuchi;Ryousei Takano;S. Honiden

文献摘要

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虚拟化技术极大地有利于云计算。实时迁移使数据中心能够动态替换虚拟机(VM),而不会中断在其上运行的服务。高效的实时迁移是通过虚拟机的动态放置来提高数据中心的能源效率和资源利用率的关键。最近的研究已经实现了有效的实时迁移,通过删除客户操作系统的页面缓存,以减少迁移前的内存大小。然而,这些研究并没有解决由于页面缓存丢失而导致的迁移后IO性能损失的问题。我们提出了一种先进的内存传输机制,实时迁移,跳过传输页面缓存,以缩短总迁移时间,同时恢复它透明地从客户操作系统通过SAN,以防止IO性能损失。为了开始迁移,我们的机制收集页面缓存和磁盘块之间的映射信息。在迁移期间,源主机跳过传输页面缓存,而是传输其他内存内容,而目的主机通过SAN从磁盘块传输与页面缓存相同的数据。Web服务器和数据库工作负载的实验表明,我们的机制减少了总迁移时间,而IO性能损失却显着较小。
Virtualization techniques greatly benefit cloud computing. Live migration enables a datacenter to dynamically replace virtual machines (VMs) without disrupting services running on them. Efficient live migration is the key to improve the energy efficiency and resource utilization of a datacenter through dynamic placement of VMs. Recent studies have achieved efficient live migration by deleting the page cache of the guest OS to shrink the memory size of it before a migration. However, these studies do not solve the problem of IO performance penalty after a migration due to the loss of page cache. We propose an advanced memory transfer mechanism for live migration, which skips transferring the page cache to shorten total migration time while restoring it transparently from the guest OS via the SAN to prevent IO performance penalty. To start a migration, our mechanism collects the mapping information between page cache and disk blocks. During a migration, the source host skips transferring the page cache but transfers other memory content, while the destination host transfers the same data as the page cache from the disk blocks via the SAN. Experiments with web server and database workloads showed that our mechanism reduced total migration time with significantly small IO performance penalty.