Delilah: eBPF-offload on Computational Storage

Niclas Hedam; Morten Tychsen Clausen; Philippe Bonnet; Sangjin Lee; Ken Friis Larsen

doi:10.1145/3592980.3595319

Delilah: eBPF-offload on Computational Storage

Niclas Hedam, Morten Tychsen Clausen, Philippe Bonnet, Sangjin Lee, Ken Friis Larsen

Publikation: Konference artikel i Proceeding eller bog/rapport kapitel › Konferencebidrag i proceedings › Forskning › peer review

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.

Originalsprog	Engelsk
Titel	International Workshop on Data Management on New Hardware (DaMoN)
Udgivelsessted	Seattle, Washington, USA
Publikationsdato	19 jun. 2023
DOI	https://doi.org/10.1145/3592980.3595319
Status	Udgivet - 19 jun. 2023
Begivenhed	Conference: International Workshop on Data Management on New Hardware - Seattle, Washington, USA, Seattle, USA Varighed: 19 jun. 2023 → 19 jun. 2023 https://www.damon-db.org/

Konference

Konference	Conference: International Workshop on Data Management on New Hardware
Lokation	Seattle, Washington, USA
Land/Område	USA
By	Seattle
Periode	19/06/2023 → 19/06/2023
Internetadresse	https://www.damon-db.org/

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10.1145/3592980.3595319Licens: CC BY

damon23-20Forlagets udgivne version, 1,47 MBLicens: CC BY

Citationsformater

@inproceedings{d6484671b01d4954a04ef594e27403fe,

title = "Delilah: eBPF-offload on Computational Storage",

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.",

keywords = "Computational storage, NVMe namespaces, eBPF, Code offloading, Storage device performance",

author = "Niclas Hedam and Clausen, {Morten Tychsen} and Philippe Bonnet and Sangjin Lee and Larsen, {Ken Friis}",

year = "2023",

month = jun,

day = "19",

doi = "10.1145/3592980.3595319",

language = "English",

booktitle = "International Workshop on Data Management on New Hardware (DaMoN)",

note = "Conference: International Workshop on Data Management on New Hardware ; Conference date: 19-06-2023 Through 19-06-2023",

url = "https://www.damon-db.org/",

}

TY - GEN

T1 - Delilah: eBPF-offload on Computational Storage

AU - Hedam, Niclas

AU - Clausen, Morten Tychsen

AU - Bonnet, Philippe

AU - Lee, Sangjin

AU - Larsen, Ken Friis

PY - 2023/6/19

Y1 - 2023/6/19

N2 - 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.

AB - 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.

KW - Computational storage

KW - NVMe namespaces

KW - eBPF

KW - Code offloading

KW - Storage device performance

UR - https://www.researchgate.net/profile/Niclas-Hedam/publication/370818368_Delilah_eBPF-offload_on_Computational_Storage/links/6464a6b29533894cac7662d3/Delilah-eBPF-offload-on-Computational-Storage.pdf

U2 - 10.1145/3592980.3595319

DO - 10.1145/3592980.3595319

M3 - Article in proceedings

BT - International Workshop on Data Management on New Hardware (DaMoN)

CY - Seattle, Washington, USA

T2 - Conference: International Workshop on Data Management on New Hardware

Y2 - 19 June 2023 through 19 June 2023

ER -

Delilah: eBPF-offload on Computational Storage

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