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Neighbour Replica Transaction Failure Framework in Data Grid

  • Noraziah Ahmad
  • Noriyani Mat Zin
  • Roslina Mohd. Sidek
  • Mohammad Fadel Jamil Klaib
  • Mohd. Helmy Abd Wahab
Part of the Communications in Computer and Information Science book series (CCIS, volume 88)

Abstract

Significant and urgent requirement to obtain solutions to manage, distribute and access large sets of raw and processed data efficiently and effectively in the emerging distributed systems such as the data grid. Data grid deals with the efficient management, placement and replication of large amounts of data. Nowadays, replication in distributed environment receives particular attention for providing efficient access to data, fault tolerance and enhance the performance of the system. This paper presents the new Neighbour Replica Transaction Failure Framework (NRTFF) in data grid. We address how to build reliable system for managing transaction on Neighbour Replication Data Grid (NRDG) to maintain data availability, fault tolerance and at the same time avoid the deadlock. The result shows that managing transactions on NRDG through the proposed NRTFF provides fault tolerance capabilities that allow to withstand failure both in handling quorum locking and the transaction execution.

Keywords

Transaction NRDG NRTFF replication data grid 

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References

  1. 1.
    Iosup, A., Li, H., Jan, M., Anoep, S., Dumitrescu, C., Wolters, L., Epema, D.H.J.: The Grid Workloads Archive (24), 672–686 (2008)Google Scholar
  2. 2.
    Stockinger, H.: Distributed Database Management Systems and The Data Grid. In: IEEE NASA Symposium, pp. 1–12 (2001)Google Scholar
  3. 3.
  4. 4.
  5. 5.
    Shashi, B., Patel, R.B., Mayank, D.: A Secure Time-Stamp Based Concurrency Control Protocol For Distributed Databases. Journal of Computer Science 3(7), 561–565 (2007)CrossRefGoogle Scholar
  6. 6.
    Gao, M.D., Nayate, A., Zheng, J., Iyengar, A.: Improving Availability and Performance with Application-Specific Data Replication. IEEE Trans. Knowledge and Data Engineering 17(1), 106–200 (2005)CrossRefGoogle Scholar
  7. 7.
    Noraziah, A., Mat Deris, M., Saman, M.Y., Norhayati, R., Rabiei, M., Shuhadah, W.N.W.: Managing Transaction on Grid-Neighbour Replication in Distributed System. International Journal of Computer Mathematics 86(9), 1624–1633 (2009)zbMATHCrossRefGoogle Scholar
  8. 8.
    Tang, M., Lee, B.S., Tang, X., Yeo, C.K.: The impact on data replication on Job Scheduling Performance in the Data Grid. International Journal of Future Generation of Computer Systems (22), 254–268 (2006)zbMATHCrossRefGoogle Scholar
  9. 9.
    Senouci, M., Liazid, A., Benhamamouch, D.: Towards an Exclusion Mutual Tolerant Algorithm to Failures. Journal of Computer Science 3(1), 43–46 (2007)CrossRefGoogle Scholar
  10. 10.
    Chen, C., Zhou, W.: A Solution for Fault-Tolerant in Replicated Database Systems, pp. 411–422. Springer, Heidelberg (2003)Google Scholar
  11. 11.
    Zehui, M., Bin, J., Peng, S.: Observer based Fault-Tolerant Control for a Class of Nonlinear Networked Control Systems. Journal of the Franklin Institute (2010) (Article in Press), doi:10.1016/j.jfranklin.2010.01.007Google Scholar

Copyright information

© Springer-Verlag Berlin Heidelberg 2010

Authors and Affiliations

  • Noraziah Ahmad
    • 1
  • Noriyani Mat Zin
    • 1
  • Roslina Mohd. Sidek
    • 1
  • Mohammad Fadel Jamil Klaib
    • 1
  • Mohd. Helmy Abd Wahab
    • 2
  1. 1.Faculty of Computer Systems & Software EngUniversity Malaysia PahangMalaysia
  2. 2.Faculty of Electrical & Electronic EngUniversiti Tun Hussein Onn MalaysiaMalaysia

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