research-article

The case for distributed shared-memory databases with RDMA-enabled memory disaggregation

Authors:

Stratos Idreos,

M. Tamer Özsu,

Walid G. ArefAuthors Info & Claims

Proceedings of the VLDB Endowment, Volume 16, Issue 1

Pages 15 - 22

https://doi.org/10.14778/3561261.3561263

Published: 01 September 2022 Publication History

Abstract

Memory disaggregation (MD) allows for scalable and elastic data center design by separating compute (CPU) from memory. With MD, compute and memory are no longer coupled into the same server box. Instead, they are connected to each other via ultra-fast networking such as RDMA. MD can bring many advantages, e.g., higher memory utilization, better independent scaling (of compute and memory), and lower cost of ownership. This paper makes the case that MD can fuel the next wave of innovation on database systems. We observe that MD revives the great debate of "shared what" in the database community. We envision that distributed shared-memory databases (DSM-DB, for short) - that have not received much attention before - can be promising in the future with MD. We present a list of challenges and opportunities that can inspire next steps in system design making the case for DSM-DB.

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Cited By

Pang XWang J(2024)Understanding the Performance Implications of the Design Principles in Storage-Disaggregated DatabasesProceedings of the ACM on Management of Data10.1145/36549832:3(1-26)Online publication date: 30-May-2024
https://dl.acm.org/doi/10.1145/3654983
Ren FZhang MChen KXia HChen ZWu YTsafrir DMUSUVATHI MGupta RAbu-Ghazaleh N(2024)Scaling Up Memory Disaggregated Applications with SMARTProceedings of the 29th ACM International Conference on Architectural Support for Programming Languages and Operating Systems, Volume 110.1145/3617232.3624857(351-367)Online publication date: 27-Apr-2024
https://dl.acm.org/doi/10.1145/3617232.3624857
Durner DLeis VNeumann T(2023)Exploiting Cloud Object Storage for High-Performance AnalyticsProceedings of the VLDB Endowment10.14778/3611479.361148616:11(2769-2782)Online publication date: 24-Aug-2023
https://dl.acm.org/doi/10.14778/3611479.3611486
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Index Terms

The case for distributed shared-memory databases with RDMA-enabled memory disaggregation
1. Information systems
  1. Data management systems
    1. Database management system engines
      1. Parallel and distributed DBMSs

Index terms have been assigned to the content through auto-classification.

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cover image Proceedings of the VLDB Endowment

Proceedings of the VLDB Endowment Volume 16, Issue 1

September 2022

126 pages

ISSN:2150-8097

Editor:
Georgia Koutrika
Athena Research Center

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Published: 01 September 2022

Published in PVLDB Volume 16, Issue 1

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Cited By

Pang XWang J(2024)Understanding the Performance Implications of the Design Principles in Storage-Disaggregated DatabasesProceedings of the ACM on Management of Data10.1145/36549832:3(1-26)Online publication date: 30-May-2024
https://dl.acm.org/doi/10.1145/3654983
Ren FZhang MChen KXia HChen ZWu YTsafrir DMUSUVATHI MGupta RAbu-Ghazaleh N(2024)Scaling Up Memory Disaggregated Applications with SMARTProceedings of the 29th ACM International Conference on Architectural Support for Programming Languages and Operating Systems, Volume 110.1145/3617232.3624857(351-367)Online publication date: 27-Apr-2024
https://dl.acm.org/doi/10.1145/3617232.3624857
Durner DLeis VNeumann T(2023)Exploiting Cloud Object Storage for High-Performance AnalyticsProceedings of the VLDB Endowment10.14778/3611479.361148616:11(2769-2782)Online publication date: 24-Aug-2023
https://dl.acm.org/doi/10.14778/3611479.3611486
Geyer APietrzyk JKrause AHabich DLehner WFärber CWillhalm T(2023)Near to Far: An Evaluation of Disaggregated Memory for In-Memory Data ProcessingProceedings of the 1st Workshop on Disruptive Memory Systems10.1145/3609308.3625271(16-22)Online publication date: 23-Oct-2023
https://dl.acm.org/doi/10.1145/3609308.3625271
An HWang FFeng DZou XLiu ZZhang J(2023)Marlin: A Concurrent and Write-Optimized B+-tree Index on Disaggregated MemoryProceedings of the 52nd International Conference on Parallel Processing10.1145/3605573.3605576(695-704)Online publication date: 7-Aug-2023
https://dl.acm.org/doi/10.1145/3605573.3605576
Zhang MMa THua JLiu ZChen KDing NDu FJiang JMa TWu YDruschel PKaufmann AMace JFlinn JSeltzer M(2023)Partial Failure Resilient Memory Management System for (CXL-based) Distributed Shared MemoryProceedings of the 29th Symposium on Operating Systems Principles10.1145/3600006.3613135(658-674)Online publication date: 23-Oct-2023
https://dl.acm.org/doi/10.1145/3600006.3613135
Wang JZhang QDas SPandis ISelçuk Candan KAmer-Yahia S(2023)Disaggregated Database SystemsCompanion of the 2023 International Conference on Management of Data10.1145/3555041.3589403(37-44)Online publication date: 4-Jun-2023
https://dl.acm.org/doi/10.1145/3555041.3589403

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