Mihali, Claudiu ; Hangan, Anca ; Sebestyen, Gheorghe ; István, Zsolt
Hrsg.: Wassermann, Bruno ; Malka, Michal ; Chidambaram, Vijay ; Raz, Danny (2021)
The case for adding privacy-related offloading to smart storage.
14th ACM International Systems and Storage Conference. Haifa, Israel (14.06.2021-16.06.2021)
doi: 10.1145/3456727.3463769
Konferenzveröffentlichung, Bibliographie
Kurzbeschreibung (Abstract)
It is important to ensure that personally identifiable information (PII) is protected within large distributed systems and is used only for intended purposes. Achieving this is challenging and several techniques have been proposed for privacy-preserving analytics, but they typically focus on the end hosts only. We argue that future storage solutions should include, in addition to emerging compute offload, also privacy-related operators. Since many privacy operators, such as perturbation and anonymization, take place as the very first step before other computations, query offload to a Smart Storage device might be only feasible in the future if privacy-related operators can also be offloaded. In this work we demonstrate that privacy-preserving operators can be implemented in hardware without reducing read bandwidths. We focus on perturbations and extend an FPGA-based network-attached Smart Storage solution to show that it is possible to provide these operations at 10Gbps line-rate while using only a small amount of additional FPGA real-estate. We also discuss how future faster smart storage nodes should look like in the light of these additional requirements.
| Typ des Eintrags: | Konferenzveröffentlichung |
|---|---|
| Erschienen: | 2021 |
| Herausgeber: | Wassermann, Bruno ; Malka, Michal ; Chidambaram, Vijay ; Raz, Danny |
| Autor(en): | Mihali, Claudiu ; Hangan, Anca ; Sebestyen, Gheorghe ; István, Zsolt |
| Art des Eintrags: | Bibliographie |
| Titel: | The case for adding privacy-related offloading to smart storage |
| Sprache: | Englisch |
| Publikationsjahr: | 14 Juni 2021 |
| Verlag: | ACM |
| Buchtitel: | SYSTOR '21: Proceedings of the 14th ACM International Conference on Systems and Storage |
| Veranstaltungstitel: | 14th ACM International Systems and Storage Conference |
| Veranstaltungsort: | Haifa, Israel |
| Veranstaltungsdatum: | 14.06.2021-16.06.2021 |
| DOI: | 10.1145/3456727.3463769 |
| Kurzbeschreibung (Abstract): | It is important to ensure that personally identifiable information (PII) is protected within large distributed systems and is used only for intended purposes. Achieving this is challenging and several techniques have been proposed for privacy-preserving analytics, but they typically focus on the end hosts only. We argue that future storage solutions should include, in addition to emerging compute offload, also privacy-related operators. Since many privacy operators, such as perturbation and anonymization, take place as the very first step before other computations, query offload to a Smart Storage device might be only feasible in the future if privacy-related operators can also be offloaded. In this work we demonstrate that privacy-preserving operators can be implemented in hardware without reducing read bandwidths. We focus on perturbations and extend an FPGA-based network-attached Smart Storage solution to show that it is possible to provide these operations at 10Gbps line-rate while using only a small amount of additional FPGA real-estate. We also discuss how future faster smart storage nodes should look like in the light of these additional requirements. |
| Zusätzliche Informationen: | Art.No.: 10 |
| Fachbereich(e)/-gebiet(e): | 20 Fachbereich Informatik 20 Fachbereich Informatik > Distributed and Networked Systems |
| Hinterlegungsdatum: | 20 Jan 2023 12:44 |
| Letzte Änderung: | 28 Mär 2023 10:23 |
| PPN: | 506358577 |
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| Suche nach Titel in: | TUfind oder in Google |
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