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首页> 外文会议>International Seminar on Intelligent Technology and Its Applications >Performance Evaluation of NFS-based Primary Storage with Deduplication using Windows Server and RAM-based Cache on Small-scale VMware Environment
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Performance Evaluation of NFS-based Primary Storage with Deduplication using Windows Server and RAM-based Cache on Small-scale VMware Environment

机译：在小型VMware环境中使用Windows Server和基于RAM的缓存对基于NFS的主存储进行重复数据删除的性能评估

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Deduplication in storage allows us to eliminate duplication in order to maximize the usage of storage capacity. The majority use of deduplication was for backup functions, but also applicable for primary storage. One of good candidate for deduplication implementation is desktop virtualization. Deduplication is resource intensive, so its application to the primary-storage can have serious implications on overall system performance that negatively impact user experience. This paper attempts to perform performance evaluation by applying deduplication (post-dedupe approach) to the primary storage, the implementation is done by creating NFS-based virtual storage (vstorage) using Windows Server 2016. The use of vstorage itself has a significant impact on storage performance, the number of IOs and bandwidth reduced to 13.33 times when compared to the basic performance of storage without vstorage. Under these conditions, it is strongly recommended to use caching mechanisms, in the context of this paper, the author used RAM as a red-and-write cache. The use of cache proven to improve performance, even faster than basic storage performance up to 1.74 times. Furthermore, the author also performed performance test while the dedupe run, causing decrease in performance up to 4.84 times compared to the performance when the dedupe process is not running. The use of Windows Server 2016 as a deduplication solution overcomes storage capacity limitations, and the use of RAM as a red-and-write cache becomes the solution for storage performance. Furthermore, the author creates 2 vstorages on an existing server that has 35 VMs, where the average number of IOs per VM is 401.94 IOs for vstorage #1 (13 VMs) and 378.24 IOs for vstorage #2 (12 VMs). The author also tested this configuration for 4 months and got positive feedback from 93,33% (14 of 15) of the respondents.
机译：存储中的重复数据删除使我们能够消除重复，从而最大程度地利用存储容量。重复数据删除的主要用途是用于备份功能，但也适用于主存储。重复数据删除实施的最佳选择之一是桌面虚拟化。重复数据删除是资源密集型的，因此将其应用于主存储可能会对整体系统性能产生严重影响，从而对用户体验产生负面影响。本文尝试通过将重复数据删除（重复数据删除方法）应用于主存储来执行性能评估，该实现是通过使用Windows Server 2016创建基于NFS的虚拟存储（vstorage）来完成的。vstorage本身的使用对与不带存储的基本性能相比，存储性能，IO数量和带宽减少了13.33倍。在这种情况下，强烈建议使用缓存机制，在本文的上下文中，作者将RAM用作重复写入缓存。事实证明，使用缓存可以提高性能，甚至比基本存储性能快1.74倍。此外，作者还执行了重复数据删除运行时的性能测试，与不运行重复数据删除流程时的性能相比，性能下降了多达4.84倍。 Windows Server 2016作为重复数据删除解决方案的使用克服了存储容量的限制，而RAM作为重复写入缓存的使用成为了存储性能的解决方案。此外，作者在具有35个VM的现有服务器上创建了2个vstorage，其中，对于vstorage＃1（13个VM），每个VM的平均IO数是401.94 IO;对于vstorage＃2（12个VM），每个VM的平均IO是378.24 IO。作者还对这种配置进行了4个月的测试，并从93.33％（15分之14）的受访者中获得了积极的反馈。

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