research-article

Performance of Containerized Database Management Systems

Authors:

Kim-Thomas Rehmann,

Enno FolkertsAuthors Info & Claims

DBTest '18: Proceedings of the Workshop on Testing Database Systems

Article No.: 5, Pages 1 - 6

https://doi.org/10.1145/3209950.3209953

Published: 15 June 2018 Publication History

Abstract

Cloud computing is heavily used by enterprises. Business applications are loaded into containers and executed in private, public or hybrid clouds. In contrast to commonly found stateless containerized services, database management systems need persistent storage and precise control over available resources. This paper describes the resource management and resulting performance properties of containerized databases.

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Cited By

Bach TAndrzejak ASeo CBierstedt CLemke CRitter DHwang DSheshi ESchabernack FRenkes FGaumnitz GMartens JHoemke LFelderer MRudolf MJambigi NMay NJoy RScheja RSchwedes SSeibel SSeifert SHaas SKraft SKroll TScheuer TLehner W(2022)Testing Very Large Database Management Systems: The Case of SAP HANADatenbank-Spektrum10.1007/s13222-022-00426-x22:3(195-215)Online publication date: 24-Nov-2022
https://doi.org/10.1007/s13222-022-00426-x
Erdelt P(2021)A Framework for Supporting Repetition and Evaluation in the Process of Cloud-Based DBMS Performance BenchmarkingPerformance Evaluation and Benchmarking10.1007/978-3-030-84924-5_6(75-92)Online publication date: 4-Aug-2021
https://doi.org/10.1007/978-3-030-84924-5_6
Seybold DHauser CEisenhart GVolpert SDomaschka J(2018)The Impact of the Storage Tier: A Baseline Performance Analysis of Containerized DBMSEuro-Par 2018: Parallel Processing Workshops10.1007/978-3-030-10549-5_8(93-105)Online publication date: 27-Aug-2018
https://dl.acm.org/doi/10.1007/978-3-030-10549-5_8

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cover image ACM Conferences

DBTest '18: Proceedings of the Workshop on Testing Database Systems

June 2018

49 pages

ISBN:9781450358262

DOI:10.1145/3209950

Copyright © 2018 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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SIGMOD: ACM Special Interest Group on Management of Data

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Association for Computing Machinery

New York, NY, United States

Publication History

Published: 15 June 2018

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SIGMOD/PODS '18

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SIGMOD

SIGMOD/PODS '18: International Conference on Management of Data

June 15, 2018

TX, Houston, USA

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Overall Acceptance Rate 31 of 56 submissions, 55%

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Cited By

Bach TAndrzejak ASeo CBierstedt CLemke CRitter DHwang DSheshi ESchabernack FRenkes FGaumnitz GMartens JHoemke LFelderer MRudolf MJambigi NMay NJoy RScheja RSchwedes SSeibel SSeifert SHaas SKraft SKroll TScheuer TLehner W(2022)Testing Very Large Database Management Systems: The Case of SAP HANADatenbank-Spektrum10.1007/s13222-022-00426-x22:3(195-215)Online publication date: 24-Nov-2022
https://doi.org/10.1007/s13222-022-00426-x
Erdelt P(2021)A Framework for Supporting Repetition and Evaluation in the Process of Cloud-Based DBMS Performance BenchmarkingPerformance Evaluation and Benchmarking10.1007/978-3-030-84924-5_6(75-92)Online publication date: 4-Aug-2021
https://doi.org/10.1007/978-3-030-84924-5_6
Seybold DHauser CEisenhart GVolpert SDomaschka J(2018)The Impact of the Storage Tier: A Baseline Performance Analysis of Containerized DBMSEuro-Par 2018: Parallel Processing Workshops10.1007/978-3-030-10549-5_8(93-105)Online publication date: 27-Aug-2018
https://dl.acm.org/doi/10.1007/978-3-030-10549-5_8

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