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Spanner: Google's globally-distributed database

Published: 30 June 2013 Publication History

Abstract

Spanner is Google's scalable, multi-version, globally-distributed, and synchronously-replicated database. It provides strong transactional semantics, consistent replication, and high performance reads and writes for a variety of Google's applications. I'll discuss the design and implementation of Spanner, as well as some of the lessons we have learned along the way. I'll also discuss some open challenges that we still see in building scalable distributed storage systems.

Cited By

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  • (2024)Systeme für skalierbares DatenmanagementSchnelles und skalierbares Cloud-Datenmanagement10.1007/978-3-031-54388-3_4(61-90)Online publication date: 3-May-2024
  • (2024)EinführungSchnelles und skalierbares Cloud-Datenmanagement10.1007/978-3-031-54388-3_1(1-12)Online publication date: 3-May-2024
  • (2023)Distributed Transaction Performance and Consistency Enhancements Based on Percolator2023 International Conference on Power, Electrical Engineering, Electronics and Control (PEEEC)10.1109/PEEEC60561.2023.00170(866-873)Online publication date: 25-Sep-2023
  • Show More Cited By

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Information & Contributors

Information

Published In

cover image ACM Conferences
SYSTOR '13: Proceedings of the 6th International Systems and Storage Conference
June 2013
198 pages
ISBN:9781450321167
DOI:10.1145/2485732
Permission to make digital or hard copies of part or all of this work for personal or classroom use is granted without fee provided that copies are not made or distributed for profit or commercial advantage and that copies bear this notice and the full citation on the first page. Copyrights for third-party components of this work must be honored. For all other uses, contact the Owner/Author.

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Publisher

Association for Computing Machinery

New York, NY, United States

Publication History

Published: 30 June 2013

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Qualifiers

  • Keynote

Conference

SYSTOR '13
Sponsor:
  • INTEL
  • Riverbed
  • Technion
  • SIGOPS
  • EMC<sup>2</sup>
  • AXCIENT
  • USENIX Assoc
  • IBM
  • HP

Acceptance Rates

SYSTOR '13 Paper Acceptance Rate 20 of 49 submissions, 41%;
Overall Acceptance Rate 108 of 323 submissions, 33%

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Cited By

View all
  • (2024)Systeme für skalierbares DatenmanagementSchnelles und skalierbares Cloud-Datenmanagement10.1007/978-3-031-54388-3_4(61-90)Online publication date: 3-May-2024
  • (2024)EinführungSchnelles und skalierbares Cloud-Datenmanagement10.1007/978-3-031-54388-3_1(1-12)Online publication date: 3-May-2024
  • (2023)Distributed Transaction Performance and Consistency Enhancements Based on Percolator2023 International Conference on Power, Electrical Engineering, Electronics and Control (PEEEC)10.1109/PEEEC60561.2023.00170(866-873)Online publication date: 25-Sep-2023
  • (2020)Systems for Scalable Data ManagementFast and Scalable Cloud Data Management10.1007/978-3-030-43506-6_4(57-83)Online publication date: 15-May-2020
  • (2020)IntroductionFast and Scalable Cloud Data Management10.1007/978-3-030-43506-6_1(1-11)Online publication date: 15-May-2020
  • (2019)Practical Performance Evaluation of Space Optimal Erasure Codes for High-Speed Data Storage SystemsSN Computer Science10.1007/s42979-019-0057-11:1Online publication date: 23-Dec-2019

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