Delilah: eBPF-offload on Computational Storage

Niclas Hedam, Morten Tychsen Clausen, Philippe Bonnet, Sangjin Lee, Ken Friis Larsen
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引用次数: 0

Abstract

The idea of pushing computation to storage devices has been explored for decades, without widespread adoption so far. The definition of Computational Programs namespaces in NVMe (TP 4091) might be a breakthrough. The proposal defines device-specific programs, that are installed statically, and downloadable programs, offloaded from a host at run-time using eBPF. In this paper, we present the design and implementation of Delilah, the first public description of an actual computational storage device supporting eBPF-based code offload. We conduct experiments to evaluate the overhead of eBPF function execution in Delilah, and to explore design options. This study constitutes a baseline for future work.
Delilah:计算存储上的ebpf卸载
将计算推进到存储设备的想法已经被探索了几十年,到目前为止还没有被广泛采用。在NVMe (TP 4091)中定义计算程序名称空间可能是一个突破。该提案定义了静态安装的特定于设备的程序,以及在运行时使用eBPF从主机卸载的可下载程序。在本文中,我们介绍了Delilah的设计和实现,Delilah是第一个公开描述支持基于ebpf的代码卸载的实际计算存储设备。我们通过实验来评估Delilah中eBPF函数执行的开销,并探索设计选项。这项研究为今后的工作奠定了基础。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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