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Benchmarking-as-a-service for cloud-hosted DBMS

Published: 06 December 2021 Publication History

Abstract

Database Management Systems (DBMS) operated on cloud resources are the storage backend for a multitude of data-intensive applications. In the process of finding the optimal cloud and DBMS, benchmarking is the common approach to evaluate the non-functional features. However, benchmarking cloud-hosted DBMS is a complex, error-prone and time-consuming task. The Benchmarking-as-a-Service platform benchANT demonstrates how these challenges are resolved by an end-to-end automated benchmarking process.

References

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Daniel Abadi, Anastasia Ailamaki, David Andersen, and et al. 2020. The Seattle Report on Database Research. SIGMOD Ree. 48, 4 (Feb. 2020), 44--53.
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Lexi Brent and Alan Fekete. 2019. A Versatile Framework for Painless Benchmarking of Database Management Systems. In Databases Theory and Applications. Springer International Publishing, Cham, 45--56.
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Ali Davoudian, Liu Chen, and Mengchi Liu. 2018. A Survey on NoSQL Stores. ACM Comput. Surv. 51, 2, Article 40 (April 2018), 43 pages.
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Jörg Domaschka, Simon Volpert, and Daniel Seybold. 2020. Hathi: An MCDM-based Approach to Capacity Planning for Cloud-hosted DBMS. In IEEE/ACM 13th UCC. 143--154.
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George Kousiouris and Dimosthenis Kyriazis. 2021. Enabling Containerized, Parametric and Distributed Database Deployment and Benchmarking as a Service. In Companion of the ACM/SPEC ICPE (Virtual Event, France) (ICPE '21). ACM, 77--80.
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Mark Raasveldt, Pedro Holanda, Tim Gubner, and Hannes Mühleisen. 2018. Fair Benchmarking Considered Difficult: Common Pitfalls In Database Performance Testing. In Proceedings of the Workshop on DBTest (Houston, TX, USA). ACM, New York, NY, USA, Article 2, 6 pages.
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Daniel Seybold, Moritz Keppler, Daniel Gründler, and Jörg Domaschka. 2019. Mowgli: Finding Your Way in the DBMS Jungle. In Proceedings of the 2019 ACM/SPEC ICPE. ACM, New York, NY, USA, 321--332.
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Daniel Seybold, Simon Volpert, Stefan Wesner, André Bauer, Nikolas Herbst, and Jörg Domaschka. 2019. Kaa: Evaluating Elasticity of Cloud-Hosted DBMS. In 2019 IEEE CloudCom. 54--61.
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Daniel Seybold, Stefan Wesner, and Jörg Domaschka. 2020. King Louie: Reproducible Availability Benchmarking of Cloud-hosted DBMS. In 35th ACM/SIGAPP SAC. 144--153.
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cover image ACM Conferences
Middleware '21: Proceedings of the 22nd International Middleware Conference: Demos and Posters
December 2021
23 pages
ISBN:9781450391542
DOI:10.1145/3491086
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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  • USENIX Assoc: USENIX Assoc
  • IFIP

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Association for Computing Machinery

New York, NY, United States

Publication History

Published: 06 December 2021

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Author Tags

  1. DBMS
  2. benchmarking-as-a-service
  3. cloud
  4. performance
  5. scalability

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  • Demonstration

Funding Sources

  • Federal Ministry for Economic Affairs and Energy of Germany

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Middleware '21
Sponsor:
Middleware '21: 22nd International Middleware Conference
December 6 - 10, 2021
Virtual Event, Canada

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Overall Acceptance Rate 203 of 948 submissions, 21%

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