Scale-out Edge Storage Systems with Embedded Storage Nodes to Get Better Availability and Cost-Efficiency At the Same Time
Scale-out Edge Storage Systems with Embedded Storage Nodes to Get Better Availability and Cost-Efficiency At the Same Time
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发表时间：
2020
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通讯作者：
Jianshen Liu;M. Curry;C. Maltzahn;Philip Kufeldt
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作者：
Jianshen Liu;M. Curry;C. Maltzahn;Philip Kufeldt
在资源丰富的数据中心环境中，大多数故障可以快速转移到冗余资源上。相比之下，在资源有限的边缘基础设施中发生故障可能需要维护人员开车到现场解决问题。这些“卡车滚动”到边缘基础设施位置的运营成本与边缘冗余资源所需的额外空间和电力所产生的运营成本相竞争。具有网络接口的计算存储设备可以充当网络连接的存储服务器，并为边缘存储系统提供新的设计点。在本文中，我们假设一个由大量这样的小型“嵌入式”存储节点组成的系统，由于故障域的数量更多，可以提供更高的可用性，同时还可以节省空间和电力方面的运营成本。为了证明我们的假设，我们比较了两种不同类型的存储系统之间数据丢失的可能性：一种是由通用服务器构建的，另一种是由嵌入式存储节点构建的。结果表明，使用通用服务器构建的存储系统的数据丢失风险比使用嵌入式存储设备构建的存储系统高7 ~ 20倍。我们还使用我们在之前的论文中开发的基于媒体的工作单元（MBWU）作为参考点，在功率和空间方面比较了两种替代方案。
In the resource-rich environment of data centers most failures can quickly failover to redundant resources. In contrast, failure in edge infrastructures with limited resources might require maintenance personnel to drive to the location in order to fix the problem. The operational cost of these“truck rolls” to locations at the edge infrastructure competes with the operational cost incurred by extra space and power needed for redundant resources at the edge. Computational storage devices with network interfaces can act as network-attached storage servers and offer a new design point for storage systems at the edge. In this paper we hypothesize that a system consisting of a larger number of such small “embedded” storage nodes provides higher availability due to a larger number of failure domains while also saving operational cost in terms of space and power. As evidence for our hypothesis, we compared the possibility of data loss between two different types of storage systems: one is constructed with general-purpose servers, and the other one is constructed with embedded storage nodes. Our results show that the storage system constructed with general-purpose servers has 7 to 20 times higher risk of losing data over the storage system constructed with embedded storage devices. We also compare the two alternatives in terms of power and space using the Media-Based Work Unit (MBWU) that we developed in an earlier paper as a reference point.