Skip to main content

Replica Freshness

  • Reference work entry
Encyclopedia of Database Systems
  • 46 Accesses

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

Access this chapter

Chapter
USD 29.95
Price excludes VAT (USA)
  • Available as PDF
  • Read on any device
  • Instant download
  • Own it forever
eBook
USD 2,500.00
Price excludes VAT (USA)
  • Available as PDF
  • Read on any device
  • Instant download
  • Own it forever

Tax calculation will be finalised at checkout

Purchases are for personal use only

Institutional subscriptions

Recommended Reading

  1. Alonso R., Barbará D., and Garcia-Molina H. Data caching issues in an information retrieval system. ACM Trans. Database Syst., 15(3):359–384, 1990.

    Google Scholar 

  2. Bernstein P.A., Fekete A., Guo H., Ramakrishnan R., and Tamma P. Relaxed-currency serializability for middle-tier caching and replication. In Proc. ACM SIGMOD Int. Conf. on Management of Data, 2006, pp. 599–610.

    Google Scholar 

  3. Guo H., Larson P.-Å., Ramakrishnan R., and Goldstein J. Relaxed currency and consistency: how to say “good enough” in SQL. In Proc. ACM SIGMOD Int. Conf. on Management of Data, 2004, pp. 815–826.

    Google Scholar 

  4. Olston C., Loo B.T., and Widom J. Adaptive precision setting for cached approximate values. In Proceedings of the ACM SIGMOD International Conference on Management of Data (SIGMOD ’01), Santa Barbara, CA, USA. 2001, pp. 355–366.

    Google Scholar 

  5. Pacitti E., Coulon C., Valduriez P., and Özsu M.T. Preventive replication in a database cluster. Distrib. Parall. Databases, 18(3):223–251, 2005.

    Google Scholar 

  6. Pu C. and Leff A. Replica control in distributed systems: as asynchronous approach. In Proc. ACM SIGMOD Int. Conf. on Management of Data, 1991, pp. 377–386.

    Google Scholar 

  7. Ramamritham K. and Pu C. A formal characterization of epsilon serializability. IEEE Trans. Knowl. Data Eng., 7(6):997–1007, 1995.

    Google Scholar 

  8. Röhm U., Böhm K., Schek H.J., and Schuldt H. FAS – a freshness-sensitive coordination middleware for a cluster of OLAP components. In Proc. 28th Int. Conf. on Very Large Data Bases, 2002, pp. 754–765.

    Google Scholar 

  9. Shah S., Ramamritham K., and Shenoy P.J. Resilient and coherence preserving dissemination of dynamic data using cooperating peers. IEEE Trans. Knowl. Data Eng., 16(7):799–812, 2004.

    Google Scholar 

  10. Sheth A.P. and Rusinkiewicz M. Management of interdependent data: specifying dependency and consistency requirements. In Workshop on the Management of Replicated Data, Houston, TX, USA. 1990, pp. 133–136.

    Google Scholar 

  11. Wiederhold G. and Qian X. Consistency control of replicated data in federated databases. In Workshop on the Management of Replicated Data, Houston, Texas. 1990, pp. 130–132.

    Google Scholar 

  12. Yu H. and Vahdat A. Design and evaluation of a conit-based continuous consistency model for replicated services. ACM Trans. Comput. Syst., 20(3):239–282, 2002.

    Google Scholar 

Download references

Author information

Authors and Affiliations

Authors

Editor information

Editors and Affiliations

Rights and permissions

Reprints and permissions

Copyright information

© 2009 Springer Science+Business Media, LLC

About this entry

Cite this entry

Fekete, A. (2009). Replica Freshness. In: LIU, L., ÖZSU, M.T. (eds) Encyclopedia of Database Systems. Springer, Boston, MA. https://doi.org/10.1007/978-0-387-39940-9_1367

Download citation

Publish with us

Policies and ethics