research-article

Avoiding blocking by scheduling transactions using quantum annealing

Authors:

Sven GroppeAuthors Info & Claims

IDEAS '20: Proceedings of the 24th Symposium on International Database Engineering & Applications

Article No.: 21, Pages 1 - 10

https://doi.org/10.1145/3410566.3410593

Published: 25 August 2020 Publication History

Abstract

Quantum annealers are a special kind of quantum computers for solving optimization problems. In this paper, we investigate the benefits of quantum annealers in the field of transaction synchronization. In particular, we show how transactions using the 2-phase-locking protocol can be optimally distributed to any number of available machines to reduce transaction waiting times. Therefore an instance of the problem will be transformed into a formula that is accepted by quantum annealers. In an experimental evaluation, the runtime on a quantum annealer outperforms the runtime of traditional algorithms to solve combinatorial problems like simulated annealing already for small problem sizes.

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Cited By

Gogeissl MSafi HMauerer W(2024)Quantum Data Encoding Patterns and their ConsequencesProceedings of the 1st Workshop on Quantum Computing and Quantum-Inspired Technology for Data-Intensive Systems and Applications10.1145/3665225.3665446(27-37)Online publication date: 9-Jun-2024
https://dl.acm.org/doi/10.1145/3665225.3665446
Trummer IVenturelli D(2024)Leveraging Quantum Computing for Database Index SelectionProceedings of the 1st Workshop on Quantum Computing and Quantum-Inspired Technology for Data-Intensive Systems and Applications10.1145/3665225.3665445(14-26)Online publication date: 9-Jun-2024
https://dl.acm.org/doi/10.1145/3665225.3665445
Hai RHung SFeld S(2024)Quantum Data Management: From Theory to Opportunities2024 IEEE 40th International Conference on Data Engineering (ICDE)10.1109/ICDE60146.2024.00410(5376-5381)Online publication date: 13-May-2024
https://doi.org/10.1109/ICDE60146.2024.00410
Show More Cited By

Index Terms

Avoiding blocking by scheduling transactions using quantum annealing
1. Information systems
  1. Data management systems
    1. Database management system engines
      1. Database transaction processing

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cover image ACM Other conferences

IDEAS '20: Proceedings of the 24th Symposium on International Database Engineering & Applications

August 2020

252 pages

ISBN:9781450375030

DOI:10.1145/3410566

General Chairs:
Bipin C. Desai
Concordia University, Canada
,
Wan-Sup Cho
Chungbuk National University, Korea

Copyright © 2020 ACM.

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Published: 25 August 2020

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IDEAS 2020

IDEAS 2020: 24th International Database Engineering & Applications Symposium

August 12 - 14, 2020

Seoul, Republic of Korea

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IDEAS '20 Paper Acceptance Rate 27 of 57 submissions, 47%;

Overall Acceptance Rate 74 of 210 submissions, 35%

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Cited By

Gogeissl MSafi HMauerer W(2024)Quantum Data Encoding Patterns and their ConsequencesProceedings of the 1st Workshop on Quantum Computing and Quantum-Inspired Technology for Data-Intensive Systems and Applications10.1145/3665225.3665446(27-37)Online publication date: 9-Jun-2024
https://dl.acm.org/doi/10.1145/3665225.3665446
Trummer IVenturelli D(2024)Leveraging Quantum Computing for Database Index SelectionProceedings of the 1st Workshop on Quantum Computing and Quantum-Inspired Technology for Data-Intensive Systems and Applications10.1145/3665225.3665445(14-26)Online publication date: 9-Jun-2024
https://dl.acm.org/doi/10.1145/3665225.3665445
Hai RHung SFeld S(2024)Quantum Data Management: From Theory to Opportunities2024 IEEE 40th International Conference on Data Engineering (ICDE)10.1109/ICDE60146.2024.00410(5376-5381)Online publication date: 13-May-2024
https://doi.org/10.1109/ICDE60146.2024.00410
Schönberger MTrummer IMauerer W(2023)Quantum-Inspired Digital Annealing for Join OrderingProceedings of the VLDB Endowment10.14778/3632093.363211217:3(511-524)Online publication date: 1-Nov-2023
https://dl.acm.org/doi/10.14778/3632093.3632112
Çalikyilmaz UGroppe SGroppe JWinker TPrestel SShagieva FArya DPreis FGruenwald L(2023)Opportunities for Quantum Acceleration of Databases: Optimization of Queries and Transaction SchedulesProceedings of the VLDB Endowment10.14778/3598581.359860316:9(2344-2353)Online publication date: 10-Jul-2023
https://dl.acm.org/doi/10.14778/3598581.3598603
Schönberger MScherzinger SMauerer W(2023)Ready to Leap (by Co-Design)? Join Order Optimisation on Quantum HardwareProceedings of the ACM on Management of Data10.1145/35889461:1(1-27)Online publication date: 30-May-2023
https://dl.acm.org/doi/10.1145/3588946
Winker TGroppe SUotila VYan ZLu JFranz MMauerer WDas SPandis ISelçuk Candan KAmer-Yahia S(2023)Quantum Machine Learning: Foundation, New Techniques, and Opportunities for Database ResearchCompanion of the 2023 International Conference on Management of Data10.1145/3555041.3589404(45-52)Online publication date: 4-Jun-2023
https://dl.acm.org/doi/10.1145/3555041.3589404
Uotila VLu J(2023)Quantum Annealing Method for Dynamic Virtual Machine and Task Allocation in Cloud Infrastructures from Sustainability Perspective2023 IEEE 39th International Conference on Data Engineering Workshops (ICDEW)10.1109/ICDEW58674.2023.00023(105-110)Online publication date: Apr-2023
https://doi.org/10.1109/ICDEW58674.2023.00023
Groppe SGroppe JÇalıkyılmaz UWinker TGruenwal L(2023)Quantum Data Management and Quantum Machine Learning for Data Management: State-of-the-Art and Open ChallengesIntelligent Systems and Machine Learning10.1007/978-3-031-35081-8_20(252-261)Online publication date: 10-Jul-2023
https://doi.org/10.1007/978-3-031-35081-8_20
(2022)The Role of Semantic Hybrid Multi‐Model Multi‐Platform (SHM3P) Databases for IoTTools, Languages, Methodologies for Representing Semantics on the Web of Things10.1002/9781394171460.ch1(1-19)Online publication date: 16-Sep-2022
https://doi.org/10.1002/9781394171460.ch1

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