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Analysis of Block Access Address Correlation in Enterprise VDI Storage

机译：Enterprise VDI存储中块访问地址相关性分析

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Virtual desktop infrastructure (VDI) is widely used in enterprises and universities. Since the storage system is shared by many VDIs, it becomes a bottleneck. In order to solve this problem, we need to analyze and understand the I/O characteristics of real VDI storage workloads. However, there are no prior works analyzing I/O traces of large scale enterprise VDIs. In this work, we captured packets between servers and storage of an enterprise VDI service, and analyzed its storage trace. Based on accessed logical block address (LBA) and access time from daily traces, contiguous LBA were aggregated fixed-size blocks, and those blocks were then clustered according to their access frequency over time. The results showed that the same 50 GiB-sized clusters were found each day. And detailed analysis showed that only 26% of the LBAs were actually accessed for each of those clusters. Taking into account those block correlation results to improve storage tiering or caching seems a much promising direction to remove storage bottlenecks of current VDIs.
机译：虚拟桌面基础架构（VDI）广泛用于企业和大学。由于存储系统由许多VDI共享，因此它成为瓶颈。为了解决这个问题，我们需要分析和理解真实VDI存储工作负载的I / O特征。但是，没有先前的作品分析大规模企业VDIS的I / O痕迹。在这项工作中，我们捕获了企业VDI服务的服务器和存储之间的数据包，并分析了其存储跟踪。基于访问的逻辑块地址（LBA）和从日常迹线的访问时间，连续的LBA被聚合固定大小块，然后根据其接入频率随时间群集这些块。结果表明，每天发现相同的50个GIB大小的簇。详细分析表明，只有26％的LBA用于每个集群中的每一个。考虑到那些块相关结果，以改善存储分层或缓存似乎是消除当前VDIS的存储瓶颈的非常有希望的方向。

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