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Building a database on S3

Authors:

Matthias Brantner,

Daniela Florescu,

Donald Kossmann,

Tim KraskaAuthors Info & Claims

SIGMOD '08: Proceedings of the 2008 ACM SIGMOD international conference on Management of data

Pages 251 - 264

https://doi.org/10.1145/1376616.1376645

Published: 09 June 2008 Publication History

Abstract

There has been a great deal of hype about Amazon's simple storage service (S3). S3 provides infinite scalability and high availability at low cost. Currently, S3 is used mostly to store multi-media documents (videos, photos, audio) which are shared by a community of people and rarely updated. The purpose of this paper is to demonstrate the opportunities and limitations of using S3 as a storage system for general-purpose database applications which involve small objects and frequent updates. Read, write, and commit protocols are presented. Furthermore, the cost ($), performance, and consistency properties of such a storage system are studied.

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Cited By

Copik MCalotoiu AZhou PTaranov KHoefler TMencagli GDazzi PLowenthal DBadia R(2024)FaaSKeeper: Learning from Building Serverless Services with ZooKeeper as an ExampleProceedings of the 33rd International Symposium on High-Performance Parallel and Distributed Computing10.1145/3625549.3658661(94-108)Online publication date: 3-Jun-2024
https://dl.acm.org/doi/10.1145/3625549.3658661
Guo YWang ZXue JShao Z(2024)A Spatio-Temporal Series Data Model with Efficient Indexing and Layout for Cloud-Based Trajectory Data Management2024 IEEE 40th International Conference on Data Engineering (ICDE)10.1109/ICDE60146.2024.00313(1171-1184)Online publication date: 13-May-2024
https://doi.org/10.1109/ICDE60146.2024.00313
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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Building a database on S3

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Published In

cover image ACM Conferences

SIGMOD '08: Proceedings of the 2008 ACM SIGMOD international conference on Management of data

June 2008

1396 pages

ISBN:9781605581026

DOI:10.1145/1376616

General Chairs:
Laks V. S. Lakshmanan
University of British Columbia, Canada
,
Raymond T. Ng
University of British Columbia, Canada
,
Dennis Shasha
New York University, USA

Copyright © 2008 ACM.

Permission to make digital or hard copies of all or part 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 components of this work owned by others than ACM must be honored. Abstracting with credit is permitted. To copy otherwise, or republish, to post on servers or to redistribute to lists, requires prior specific permission and/or a fee. Request permissions from [email protected]

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Publication History

Published: 09 June 2008

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SIGMOD/PODS '08

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SIGMOD/PODS '08: SIGMOD/PODS '08 - International Conference on Management of Data

June 9 - 12, 2008

Vancouver, Canada

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Overall Acceptance Rate 785 of 4,003 submissions, 20%

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Cited By

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https://dl.acm.org/doi/10.1145/3625549.3658661
Guo YWang ZXue JShao Z(2024)A Spatio-Temporal Series Data Model with Efficient Indexing and Layout for Cloud-Based Trajectory Data Management2024 IEEE 40th International Conference on Data Engineering (ICDE)10.1109/ICDE60146.2024.00313(1171-1184)Online publication date: 13-May-2024
https://doi.org/10.1109/ICDE60146.2024.00313
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
Wang ZShao Z(2023)MirrorKV: An Efficient Key-Value Store on Hybrid Cloud Storage with Balanced Performance of Compaction and QueryingProceedings of the ACM on Management of Data10.1145/36267361:4(1-27)Online publication date: 12-Dec-2023
https://dl.acm.org/doi/10.1145/3626736
Kraska T(2023)Technical Perspective for Sherman: A Write-Optimized Distributed B+Tree Index on Disaggregated MemoryACM SIGMOD Record10.1145/3604437.360444752:1(44-44)Online publication date: 8-Jun-2023
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Kang JTan SHe BZhang ZSingh ASun YAkoglu LGunopulos DYan XKumar ROzcan FYe J(2023)Real Time Index and Search Across Large Quantities of GNN Experts for Low Latency Online LearningProceedings of the 29th ACM SIGKDD Conference on Knowledge Discovery and Data Mining10.1145/3580305.3599893(4308-4319)Online publication date: 6-Aug-2023
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