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Architecture of a Database System
Abstract
Database Management Systems (DBMSs) are a ubiquitous and critical component of modern computing, and the result of decades of research and development in both academia and industry. Historically, DBMSs were among the earliest multi-user server systems to be developed, and thus pioneered many systems design techniques for scalability and reliability now in use in many other contexts. While many of the algorithms and abstractions used by a DBMS are textbook material, there has been relatively sparse coverage in the literature of the systems design issues that make a DBMS work. This paper presents an architectural discussion of DBMS design principles, including process models, parallel architecture, storage system design, transaction system implementation, query processor and optimizer architectures, and typical shared components and utilities. Successful commercial and open-source systems are used as points of reference, particularly when multiple alternative designs have been adopted by different groups.
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Cited by
Polis, G. A., Anderson, W. B., & Holt, R. D. (1997) · Annual Review of Ecology and Systematics · doi:10.1146/annurev.ecolsys.28.1.289 · Cited by 2,362
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Jonas, E., Schleier-Smith, J., Sreekanti, V., Tsai, C.-C., Khandelwal, A., Pu, Q., Shankar, V., Carreira, J., Krauth, K., Yadwadkar, N. J., et al. (2019) · arXiv (Cornell University) · doi:10.4230/oasics.microservices.2020-2022.5 · Cited by 409
Triple Pattern Fragments: A low-cost knowledge graph interface for the Web
Verborgh, R., Vander Sande, M., Hartig, O., Van Herwegen, J., De Vocht, L., De Meester, B., Haesendonck, G., & Colpaert, P. (2016) · Journal of Web Semantics · doi:10.1016/j.websem.2016.03.003 · Cited by 265
Serializable isolation for snapshot databases
Cahill, M. J., Röhm, U., & Fekete, A. D. (2008) · Proceedings of the 2008 ACM SIGMOD international conference on Management of data · doi:10.1145/1376616.1376690 · Cited by 120
Efficient LLM Serving for Agentic Workflows: A Data Systems Perspective
Wadlom, N., Shen, J., & Lu, Y. (2026) · Proceedings of the ACM on Management of Data · doi:10.1145/3802046
Metadata
- Authors
- Hellerstein, J. M., Stonebraker, M., & Hamilton, J.
- Venue
- Foundations and Trends in Databases
- Publisher
- Emerald
- Published
- 2007-11-07
- Volume
- 1
- Issue
- 2
- Pages
- 141-259
- ISSN
- 1931-7883 (ISSN-L)
- 1931-7891
- OpenAlex
- W2139086035
- Cited by
- 245
- References
- 0
- FWCI
- 15.79
- Type
- journal article
- Language
- en
- Open access
- closed
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Contains information from the Semantic Scholar Academic Graph Datasets, made available under the ODC Attribution License (ODC-BY 1.0).
Semantic Scholar’s data is described in: Kinney, R., et al. (2023). The Semantic Scholar Open Data Platform. arXiv:2301.10140.