Skip to main content

An Enhanced Distributed Database Design Over the Cloud Environment

  • Conference paper
  • First Online:
Book cover Proceedings of the International Conference on Advanced Intelligent Systems and Informatics 2016 (AISI 2016)

Part of the book series: Advances in Intelligent Systems and Computing ((AISC,volume 533))

Abstract

The design of a distributed database is one of the major research issues within the distributed database system area. The main challenges facing distributed database systems (DDBS) design are fragmentation, allocation and replication. In this paper, we present an enhanced distributed database design over the cloud environment. It minimizes the execution time needed for the transactions and for noticing an error when an invalid query or data cannot found occurs. It also allows users to access the distributed database from anywhere. Moreover, it allows fragmentation, allocation and replication decisions to be taken statically at the initial stage of designing the distributed database. Experimental results show that the proposed system design, results in a significant reduction of the execution time needed for the transactions to reach the data in an appropriate site and the time taken to notice an error when an invalid query or data not found occurs.

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 169.00
Price excludes VAT (USA)
  • Available as EPUB and PDF
  • Read on any device
  • Instant download
  • Own it forever
Softcover Book
USD 219.99
Price excludes VAT (USA)
  • Compact, lightweight 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

References

  1. Abdel Raouf, A.E., Badr, N.L., Tolba, M.F.: Dynamic distributed database over cloud environment. In: Hassanien, A.E., Tolba, M.F., Taher Azar, A. (eds.) AMLTA 2014. CCIS, vol. 488, pp. 67–76. Springer, Heidelberg (2014). doi:10.1007/978-3-319-13461-1_8

    Google Scholar 

  2. Abdel Raouf, A.E., Badr, N.L., Tolba, M.F.: An optimized scheme for vertical fragmentation, allocation and replication of a distributed database. In: 2015 IEEE Seventh International Conference on Intelligent Computing and Information Systems (ICICIS), pp. 506–513. IEEE, Cairo (2015)

    Google Scholar 

  3. Amalarethinam, D., Balakrishnan, C.: A study on performance evaluation of peer-to-peer distributed databases. IOSR J. Eng. 2, 1168–1176 (2012)

    Article  Google Scholar 

  4. Khan, S., Hoque, A.: A new technique for database fragmentation in distributed systems. Int. J. Comput. Appl. 5, 20–24 (2010)

    Google Scholar 

  5. Hauglid, J.O., Ryeng, N.H., Nørvåg, K.: DYFRAM: dynamic fragmentation and replica management in distributed database systems. Distrib. Parallel Databases 28, 157–185 (2010)

    Article  Google Scholar 

  6. Khan, S., Hoque, A.: Scalability and performance analysis of CRUD matrix based fragmentation technique for distributed database. In: 15th International Conference on Computer and Information Technology (ICCIT), pp. 557–562. IEEE, Chittagong (2012)

    Google Scholar 

  7. Abdalla, H.I.: A synchronized design technique for efficient data distribution. Comput. Hum. Behav. 30, 427–435 (2014)

    Article  Google Scholar 

  8. Abdalla, H.I.: An efficient approach for data placement in distributed systems. In: 2011 Fifth FTRA International Conference Multimedia and Ubiquitous Engineering, pp. 297–301. IEEE, Loutraki (2011)

    Google Scholar 

  9. Varghese, P.P., Gulyani, T.: Region based fragment allocation in non-replicated distributed database system. Int. J. Adv. Comput. Theory Eng. 1, 62–70 (2012)

    Google Scholar 

  10. Corcoran, L.: A genetic algorithm for fragment allocation a distributed database system. In: Proceedings 1994 ACM Symposium on Applied Computing, SAC 1994, pp. 247–250. ACM, USA (1994)

    Google Scholar 

  11. Ulus, T., Uysal, M.: Heuristic approach to dynamic data allocation in distributed database systems. Inf. Technol. J. 2, 231–239 (2003)

    Article  Google Scholar 

  12. Bayati, A., Ghodsnia, P.: A novel way of determining the optimal location of a fragment in a DDBS: BGBR. In: Systems Networks, pp. 64–69. IEEE Computer Society, Washington (2006)

    Google Scholar 

  13. Abdalla, H.: A new data re-allocation model for distributed database systems. Int. J. Database Theory 5, 45–60 (2012)

    Google Scholar 

  14. Gope, D.: Dynamic data allocation methods in distributed database system. Am. Acad. Sch. Res. J. 4, 1–8 (2012)

    Google Scholar 

  15. Mukherjee, N.: Synthesis of non-replicated dynamic fragment allocation algorithm in distributed database systems. Int. J. Inf. Technol. 1, 36–41 (2011)

    Google Scholar 

  16. Abdallaha, H.I., Amer, A.A., Mathkour, H.: Performance optimality enhancement algorithm in DDBS (POEA). Comput. Hum. Behav. 30, 419–426 (2014)

    Article  Google Scholar 

Download references

Author information

Authors and Affiliations

Authors

Corresponding author

Correspondence to Ahmed E. Abdel Raouf .

Editor information

Editors and Affiliations

Rights and permissions

Reprints and permissions

Copyright information

© 2017 Springer International Publishing AG

About this paper

Cite this paper

Abdel Raouf, A.E., Badr, N.L., Tolba, M.F. (2017). An Enhanced Distributed Database Design Over the Cloud Environment. In: Hassanien, A., Shaalan, K., Gaber, T., Azar, A., Tolba, M. (eds) Proceedings of the International Conference on Advanced Intelligent Systems and Informatics 2016. AISI 2016. Advances in Intelligent Systems and Computing, vol 533. Springer, Cham. https://doi.org/10.1007/978-3-319-48308-5_28

Download citation

  • DOI: https://doi.org/10.1007/978-3-319-48308-5_28

  • Published:

  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-319-48307-8

  • Online ISBN: 978-3-319-48308-5

  • eBook Packages: EngineeringEngineering (R0)

Publish with us

Policies and ethics