Skip to main content
SpringerLink
Log in
Book cover

Encyclopedia of Database Systems pp 1–4Cite as

Database Middleware

  • Living reference work entry
  • First Online:

  • 88 Accesses

Synonyms

Database scheduling; Load balancing; Mediation and adaptation

Definition

Database middleware is a generic term used to refer to software infrastructure that supports (i) functionality, such as, interoperability between software components, or distributed transaction execution, (ii) improved database service, such as, performance scaling or fault tolerance of a database back-end in a larger system, or (iii) adaptations to workloads e.g., through the use of adaptive queuing middleware or of a scheduler component for adaptive reconfiguration of a database back-end.

Historical Background

Historically, TP Monitors were the first recognized database middleware components. TP Monitors, thus database middleware, was originally run on mainframes to connect different applications. Later, with the advent of e-business applications and modern multi-tier architectures that supported them, similar functionality as in the original TP Monitors became integrated in software components within...

This is a preview of subscription content, log in via an institution.

Recommended Reading

  1. Amza C, Cecchet E, Chanda A, Cox A, Elnikety S, Gil R, Marguerite J, Rajamani K, Zwaenepoel W. Specification and implementation of dynamic web site benchmarks. In: Proceedings of the 5th IEEE Workshop on Workload Characterization; 2002.

    Google Scholar 

  2. Amza C, Cox A, Zwaenepoel W. Conflict-aware scheduling for dynamic content applications. In: Proceedings of the 5th USENIX Symposium on Internet Technologies and Systems; 2003. p. 71–84.

    Google Scholar 

  3. Amza C, Cox AL, Zwaenepoel W. Distributed versioning: consistent replication for scaling back-end databases of dynamic content web sites. In: Proceedings of the ACM/IFIP/USENIX International Middleware Conference; 2003. p. 282–304.

    Google Scholar 

  4. Boral H, Alexander W, Clay L, Copeland G, Danforth S, Franklin M, Hart B, Smith M, Valduriez P. Prototyping Bubba, a highly parallel database system. IEEE Trans Knowl Data Eng. 1990;2:4–24.

    Article  Google Scholar 

  5. Chaudhuri S, Weikum G. Rethinking database system architecture: towards a self-tuning RISC-style database system. In: Proceedings of the 26th International Conference on Very Large Data Bases; 2000. p. 1–10.

    Google Scholar 

  6. Copeland G, Alexander W, Boughter E, Keller T. Data placement in Bubba. In: Proceedings of the ACM SIGMOD International Conference on Management of Data; 1988. p. 99–108.

    Google Scholar 

  7. Frolund S, Guerraoui R. e-transactions: end-to-end reliability for three-tier architectures. IEEE Trans Softw Eng. 2002;28(4):378–95.

    Article  Google Scholar 

  8. Liang W, Kemme B. Online recovery in cluster databases. In: Advances in Database Technology, Proceedings of the 11th International Conference on Extending Database Technology; 2008.

    Google Scholar 

  9. Milan-Franco JM, Jimenez-Peris R, Patio-Martinez M, Kemme B. Adaptive middleware for data replication. In: Proceedings of the ACM/IFIP/USENIX International Middleware Conference; 2004.

    Google Scholar 

  10. Plattner C, Alonso G. Ganymed: scalable replication for transactional web applications. In: Proceedings of the ACM/IFIP/USENIX International Middleware Conference; 2004.

    Google Scholar 

  11. Rashid L, Tomasic A, Valduriez P. Scaling heterogeneous databases and the design of DISCO. In: Proceedings of the 16th International Conference on Distributed Computing Systems; 1996.

    Google Scholar 

  12. Rodriguez-Martinez M, Roussopoulos N. MOCHA: a self-extensible database middleware system for distributed data sources. In: Proceedings of the ACM SIGMOD International Conference on Management of Data; 2000.

    Google Scholar 

  13. Roth MT, Schwarz P. Don’t scrap it, wrap it! A wrapper architecture for legacy data sources. In: Proceedings of the 23rd International Conference on Very Large Data Bases; 1997.

    Google Scholar 

  14. Soundararajan G, Amza C. Reactive provisioning of backend databases in shared dynamic content server clusters. ACM Trans Auto Adapt Syst. 2006;1(2):151–88.

    Article  Google Scholar 

Download references

Author information

Authors and Affiliations

  1. Department of Electrical and Computer Engineering, University of Toronto, 10 King’s College Rd., M5S 3G4, Toronto, ON, Canada

    Cristiana Amza

Authors
  1. Cristiana Amza
    View author publications

    You can also search for this author in PubMed Google Scholar

Corresponding author

Correspondence to Cristiana Amza .

Editor information

Editors and Affiliations

  1. Georgia Institute of Technology College of Computing, Atlanta, Georgia, USA

    Ling Liu

  2. University of Waterloo School of Computer Science, Waterloo, Ontario, Canada

    M. Tamer Özsu

Section Editor information

  1. Dept. of Elec. and Comp. Eng., Univ. of Toronto, 10 King's College Rd., M5S 3G4, Toronto, ON, Canada

    Cristiana Amza

Rights and permissions

Reprints and permissions

Copyright information

© 2016 Springer Science+Business Media New York

About this entry

Cite this entry

Amza, C. (2016). Database Middleware. In: Liu, L., Özsu, M. (eds) Encyclopedia of Database Systems. Springer, New York, NY. https://doi.org/10.1007/978-1-4899-7993-3_689-2

Download citation

  • DOI: https://doi.org/10.1007/978-1-4899-7993-3_689-2

  • Received:

  • Accepted:

  • Published:

  • Publisher Name: Springer, New York, NY

  • Online ISBN: 978-1-4899-7993-3

  • eBook Packages: Springer Reference Computer SciencesReference Module Computer Science and Engineering

Publish with us

Policies and ethics

Search

Navigation