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WAIO: Improving Virtual Machine Live Storage Migration for the Cloud by Workload-Aware IO Outsourcing

机译:WAIO:通过可感知工作负载的IO外包改善针对云的虚拟机实时存储迁移

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Virtual Machine (VM) live storage migration is widely performed in the current cloud data centers, for the purposes of load balance, hardware maintenance and system upgrade. Nevertheless, conventional migration approaches, such as Dirty Block Tracking (DBT), do not address the problem of IO interference between VM IO requests and Migration IO requests during the migration period, which degrades both the VM IO performance and the migration performance. In this paper, we propose a Workload-Aware IO Outsourcing scheme, short for WAIO, to improve the VM live storage migration efficiency. WAIO effectively outsources the VM's working set to a surrogate device during the migration and creates separate IO path for servicing the VM IO requests. By outsourcing VM IO requests from the original storage to the surrogate device, the VM live storage migration process can be performed on the original storage, no longer interfered, while the outsourced VM IO requests are serviced separately and thus much more quickly. Our lightweight prototype implementation of WAIO and extensive trace-driven experiments demonstrate that, compared with the existing migration approach DBT, WAIO significantly improves the VM's IO performance during the migration process. Moreover, WAIO allows the hypervisor to migrate a VM at a higher migration speed, without sacrificing the VM's IO performance.
机译:当前的云数据中心广泛进行虚拟机(VM)实时存储迁移,以实现负载平衡,硬件维护和系统升级。但是,传统的迁移方法(如脏块跟踪(DBT))无法解决迁移期间VM IO请求与迁移IO请求之间的IO干扰问题,这会降低VM IO性能和迁移性能。在本文中,我们提出了一种Workload-Aware IO外包方案(WAIO的缩写),以提高VM实时存储迁移效率。 WAIO在迁移过程中有效地将VM的工作集外包给代理设备,并创建单独的IO路径以服务VM IO请求。通过将VM IO请求从原始存储外包给代理设备,可以在原始存储上执行VM实时存储迁移过程,而不再受到干扰,而外包的VM IO请求则得到单独服务,从而可以更快地进行服务。我们的WAIO轻量级原型实现和大量跟踪驱动的实验表明,与现有的迁移方法DBT相比,WAIO在迁移过程中显着提高了VM的IO性能。此外,WAIO允许虚拟机管理程序以更高的迁移速度迁移VM,而不会牺牲VM的IO性能。

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