Skip to main content
SpringerLink
Log in

Autonomous Replication

  • Reference work entry
  • First Online:
Encyclopedia of Database Systems

  • 15 Accesses

Synonyms

Adaptive database replication; Autonomic database replica allocation; Database provisioning

Definition

Autonomic database replication refers to dynamic allocation of servers to applications in shared server clusters, in such a way to meet per-application performance requirements. Autonomic database replication enables the service provider to efficiently multiplex data center resources across applications in order to save per-server costs related to human management, power, and cooling.

Historical Background

The concept of autonomic computing and the associated research area of automated, adaptive self-management in data centers were introduced by IBM as a grand challenge project in the early 2000s. Other companies, which have responded or have had similar proposals of their own, include Microsoft, Intel, Sun, and HP. Related industry efforts in this area have been on developing open standards for resource monitoring tools, e.g., as available on IBM’s Alphaworks (http://www.alphaworks.ibm.com...

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

Access this chapter

Log in via an institution
Chapter
USD 29.95
Price excludes VAT (USA)
  • Available as PDF
  • Read on any device
  • Instant download
  • Own it forever
eBook
USD 4,499.99
Price excludes VAT (USA)
  • Available as EPUB and PDF
  • Read on any device
  • Instant download
  • Own it forever
Hardcover Book
USD 6,499.99
Price excludes VAT (USA)
  • Durable hardcover edition
  • Dispatched in 3 to 5 business days
  • Free shipping worldwide - see info

Tax calculation will be finalised at checkout

Purchases are for personal use only

Institutional subscriptions

Recommended Reading

  1. Amza C, Cecchet E, Chanda A, Cox A, Elnikety S, Gil R, et al. 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 AL, Zwaenepoel W. Conflict-aware scheduling for dynamic content applications. In: Proceedings of the 4th USENIX Symposium on Internet Technologies and Systems; 2003. p. 6–6.

    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. Bennani MN, Menasce DA. Resource allocation for autonomic data centers using analytic performance models. In: Proceedings of the 2nd International Conference on Autonomic Computing; 2005. p. 229–40.

    Google Scholar 

  5. Bernstein PA, Hadzilacos V, Goodman N. Concurrency control and recovery in database systems. Reading: Addison-Wesley; 1987.

    Google Scholar 

  6. Chen J, Soundararajan G, Amza C. Autonomic provisioning of backend databases in dynamic content web servers. In: Proceedings of the 3rd International Conference on Autonomic Computing; 2006. p. 123–33.

    Google Scholar 

  7. Chen J, Soundararajan G, Ghanbari S, Amza C. Model ensemble tools for self-management in data centers. In: Proceedings of the 8th International Workshop on Self Managing Database Systems, ICDE Workshop; 2013. p. 36–43.

    Google Scholar 

  8. Coleman K, Norris J, Candea G, Fox A. Oncall: defeating spikes with a free-market server cluster. In: Proceedings of the 1st International Conference on Autonomic Computing; 2004.

    Google Scholar 

  9. Duan S, Thummala V, Babu S. Tuning database configuration parameters with iTuned. Proc VLDB Endowment. 2009;2(1):1246–57.

    Article  Google Scholar 

  10. Ganapathi A, Kuno HA, Dayal U, Wiener JL, Fox A, Jordan MI, et al. Predicting multiple metrics for queries: better decisions enabled by machine learning. In: Proceedings of the 25th International Conference on Data Engineering; 2009. p. 592–603.

    Google Scholar 

  11. Ghanbari S, Soundararajan G, Chen J, Amza C. Adaptive learning of metric correlations for temperature-aware database provisioning. In: Proceedings of the 4th International Conference on Autonomic Computing; 2007. p. 26.

    Google Scholar 

  12. Gulati A, Kumar C, Ahmad I, Kumar K. BASIL: automated IO load balancing across storage devices. In: Proceedings of the 8th USENIX Conference on File and Storage Technologies; 2010. p. 169–82.

    Google Scholar 

  13. IBM Corporation: Automated provisioning of resources for data center environments. http://www-306.ibm.com/software/tivoli/solutions/provisioning/ (2003).

  14. Karve A, Kimbrel T, Pacifici G, Spreitzer M, Steinder M, Sviridenko M, et al. Dynamic placement for clustered web applications. In: Proceedings of the 15th International World Wide Web Conference; 2006. p. 595–604.

    Google Scholar 

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

    Article  Google Scholar 

  16. Soundararajan G, Lupei D, Ghanbari S, Popescu AD, Chen J, Amza C. Dynamic resource allocation for database servers running on virtual storage. In: Proceedings of the 7th USENIX Conference on File and Storage Technologies; 2009. p. 71–84.

    Google Scholar 

  17. Tesauro G, Das R, Walsh WE, Kephart JO. Utility-function-driven resource allocation in autonomic systems. In: Proceedings of the 2nd International Conference on Autonomic Computing; 2005. p. 70–7.

    Google Scholar 

  18. Tesauro G, Jong NK, Das R, Bennani MN. On the use of hybrid reinforcement learning for autonomic resource allocation. Clust Comput. 2007;10(3): 287–99.

    Article  Google Scholar 

  19. Urgaonkar B, Pacifici G, Shenoy PJ, Spreitzer M, Tantawi AN. An analytical model for multi-tier internet services and its applications. In: Proceedings of the 2005 ACM SIGMETRICS International Conference on Measurement and Modeling of Computer Systems; 2005. p. 291–302.

    Article  Google Scholar 

  20. Wang M, Au K, Ailamaki A, Brockwell A, Faloutsos C, Ganger GR. Storage device performance prediction with CART models. In: Proceedings of the 2004 ACM SIGMETRICS International Conference on Measurement and Modeling of Computer Systems; 2004. p. 412–13.

    Google Scholar 

  21. Wu S, Kemme B. Postgres-R(SI): combining replica control with concurrency control based on snapshot isolation. In: Proceedings of the 21st International Conference on Data Engineering; 2005. p. 422–33.

    Google Scholar 

Download references

Author information

Authors and Affiliations

  1. Department of Electrical and Computer Engineering, University of Toronto, Toronto, ON, Canada

    Cristiana Amza

  2. Computer Engineering Research Group, University of Toronto, Toronto, ON, Canada

    Jin Chen

Authors
  1. Cristiana Amza
    View author publications

    You can also search for this author in PubMed Google Scholar

  2. Jin Chen
    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, GA, USA

    Ling Liu

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

    M. Tamer Özsu

Rights and permissions

Reprints and permissions

Copyright information

© 2018 Springer Science+Business Media, LLC, part of Springer Nature

About this entry

Check for updates. Verify currency and authenticity via CrossMark

Cite this entry

Amza, C., Chen, J. (2018). Autonomous Replication. In: Liu, L., Özsu, M.T. (eds) Encyclopedia of Database Systems. Springer, New York, NY. https://doi.org/10.1007/978-1-4614-8265-9_34

Download citation

Publish with us

Policies and ethics

Search

Navigation