Delilah: eBPF-offload on Computational Storage
Publikation: Bidrag til bog/antologi/rapport › Konferencebidrag i proceedings › Forskning › fagfællebedømt
Dokumenter
- Fulltext
Forlagets udgivne version, 1,51 MB, PDF-dokument
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 | Proceedings of the 19th International Workshop on Data Management on New Hardware, DaMoN 2023 |
Antal sider | 7 |
Forlag | Association for Computing Machinery, Inc. |
Publikationsdato | 2023 |
Sider | 70-76 |
ISBN (Elektronisk) | 9781450395076 |
DOI | |
Status | Udgivet - 2023 |
Begivenhed | 19th International Workshop on Data Management on New Hardware, DaMoN 2023 - Seattle, USA Varighed: 18 jun. 2023 → 23 jun. 2023 |
Konference
Konference | 19th International Workshop on Data Management on New Hardware, DaMoN 2023 |
---|---|
Land | USA |
By | Seattle |
Periode | 18/06/2023 → 23/06/2023 |
Sponsor | SAP |
Navn | Proceedings of the 19th International Workshop on Data Management on New Hardware, DaMoN 2023 |
---|
Bibliografisk note
Funding Information:
This work is developed in the context of the Daphne project [7] funded by the European Union’s Horizon 2020 Research and Innovation Programme (grant agreement No 957407/Daphne).
Publisher Copyright:
© 2023 Copyright held by the owner/author(s).
ID: 360398895