research-article

Hardware acceleration of compression and encryption in SAP HANA

Authors:

Gustavo Alonso,

Norman MayAuthors Info & Claims

Proceedings of the VLDB Endowment, Volume 15, Issue 12

Pages 3277 - 3291

https://doi.org/10.14778/3554821.3554822

Published: 01 August 2022 Publication History

Abstract

With the advent of cloud computing, where computational resources are expensive and data movement needs to be secured and minimized, database management systems need to reconsider their architecture to accommodate such requirements. In this paper, we present our analysis, design and evaluation of an FPGA-based hardware accelerator for offloading compression and encryption for SAP HANA, SAP's Software-as-a-Service (SaaS) in-memory database. Firstly, we identify expensive data-transformation operations in the I/O path. Then we present the design details of a system consisting of compression followed by different types of encryption to accommodate different security levels, and identify which combinations maximize performance. We also analyze the performance benefits of offloading decryption to the FPGA followed by decompression on the CPU. The experimental evaluation using SAP HANA traces shows that analytical engines can benefit from FPGA hardware offloading. The results identify a number of important trade-offs (e.g., the system can accommodate low-latency secured transactions to high-performance use cases or offer lower storage cost by also compressing payloads for less critical use cases), and provide valuable information to researchers and practitioners exploring the nascent space of hardware accelerators for database engines.

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Li JXie QMa YMa JJi KZhang YZhang CChen YWu GZhang JYang KHe XShen QTao YZhao HJiao PZhu CQian DXu C(2023)Big Data Analytic Toolkit: A General-Purpose, Modular, and Heterogeneous Acceleration Toolkit for Data Analytical EnginesProceedings of the VLDB Endowment10.14778/3611540.361155816:12(3702-3714)Online publication date: 1-Aug-2023
https://dl.acm.org/doi/10.14778/3611540.3611558
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Published In

cover image Proceedings of the VLDB Endowment

Proceedings of the VLDB Endowment Volume 15, Issue 12

August 2022

551 pages

ISSN:2150-8097

Editors:
Fatma Özcan
Google
,
Juliana Freire
New York University
,
Xuemin Lin
University of New South Wales

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VLDB Endowment

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Published: 01 August 2022

Published in PVLDB Volume 15, Issue 12

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Cited By

Gao RLi ZTan GLi XTsafrir DMusuvathi MGupta RAbu-Ghazaleh N(2024)BeeZip: Towards An Organized and Scalable Architecture for Data CompressionProceedings of the 29th ACM International Conference on Architectural Support for Programming Languages and Operating Systems, Volume 310.1145/3620666.3651323(133-148)Online publication date: 27-Apr-2024
https://dl.acm.org/doi/10.1145/3620666.3651323
Chiosa MPreußer TBlott MAlonso G(2023)AMNES: Accelerating the Computation of Data Correlation Using FPGAsProceedings of the VLDB Endowment10.14778/3625054.362505616:13(4174-7187)Online publication date: 1-Sep-2023
https://dl.acm.org/doi/10.14778/3625054.3625056
Li JXie QMa YMa JJi KZhang YZhang CChen YWu GZhang JYang KHe XShen QTao YZhao HJiao PZhu CQian DXu C(2023)Big Data Analytic Toolkit: A General-Purpose, Modular, and Heterogeneous Acceleration Toolkit for Data Analytical EnginesProceedings of the VLDB Endowment10.14778/3611540.361155816:12(3702-3714)Online publication date: 1-Aug-2023
https://dl.acm.org/doi/10.14778/3611540.3611558
Maschi FAlonso G(2023)Strega: An HTTP Server for FPGAsACM Transactions on Reconfigurable Technology and Systems10.1145/361131217:1(1-27)Online publication date: 10-Oct-2023
https://dl.acm.org/doi/10.1145/3611312
Seemakhupt KStephens BKhan SLiu SWassel HYeganeh SSnoeren AKrishnamurthy ACuller DLevy HDruschel PKaufmann AMace JFlinn JSeltzer M(2023)A Cloud-Scale Characterization of Remote Procedure CallsProceedings of the 29th Symposium on Operating Systems Principles10.1145/3600006.3613156(498-514)Online publication date: 23-Oct-2023
https://dl.acm.org/doi/10.1145/3600006.3613156
Maschi FAlonso G(2023)The Difficult Balance Between Modern Hardware and Conventional CPUsProceedings of the 19th International Workshop on Data Management on New Hardware10.1145/3592980.3595314(53-62)Online publication date: 18-Jun-2023
https://dl.acm.org/doi/10.1145/3592980.3595314
Maschi FKorolija DAlonso GUstiugov DBruno RFonseca PGrot BBarbalace A(2023)Serverless FPGA: Work-In-ProgressProceedings of the 1st Workshop on SErverless Systems, Applications and MEthodologies10.1145/3592533.3592804(1-4)Online publication date: 8-May-2023
https://dl.acm.org/doi/10.1145/3592533.3592804
Jiang WKorolija DAlonso GDas SPandis ISelçuk Candan KAmer-Yahia S(2023)Data Processing with FPGAs on Modern ArchitecturesCompanion of the 2023 International Conference on Management of Data10.1145/3555041.3589410(77-82)Online publication date: 4-Jun-2023
https://dl.acm.org/doi/10.1145/3555041.3589410

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