A SECURE AND ROBUST CONGESTION CONTROL MODEL WITH FRAGMENTATION FOR CLUSTERED DISTRIBUTED DATABASE SYSTEM

Article Sidebar

PDF
Published: Oct 20, 2017
DOI: https://doi.org/10.26483/ijarcs.v8i8.4577
Keywords:
Distributed Database System, Robust congestion control, Repository data-sites, Fragmentation, Clustering network sites.

Main Article Content

Surya Pratap Singh
DDU gorakhpur University
http://orcid.org/0000-0002-8642-9208
Arvind Kumar Maurya
Manish Mishra
Upendra Nath Tripathi

Abstract

The purpose of this paper is to present a secure and robust way to adopt Distributed Database System (DDBS). Distributed database is becoming very popular now a day. Today’s business environment has an increasingly need for distributed database and client/server applications. We know that the aim of current technologies is to fulfil the desire for consistent, scalable, reliable and accessible information i.e. steadily growing information. In Distributed Database System, the data fragmentation and distributed database site’s clustering problems are NP-Hard in nature and difficult to solve. One of the points considered that may cause loss of data means, while upgrading from Relational Database System, data distribution over different data-sites uses fragmentation. The database queries to access the applications on the data-sites and should be performed effectively. Therefore, the fragments that accessed by queries are needed to be allocated to the distributed database sites. Thus, fragmentation should be as secure as data be lossless during query execution. And, the second one may cause expensiveness of technology changes. Thus, we present a method for grouping the sites (clustering) of Distributed Database Systems in order to achieve not only secure fragmentation but also robust and cost effective congestion control.

Downloads

Download data is not yet available.

Article Details

Issue
Vol. 8 No. 8 (2017): September-October
Section
Articles

COPYRIGHT

Submission of a manuscript implies: that the work described has not been published before, that it is not under consideration for publication elsewhere; that if and when the manuscript is accepted for publication, the authors agree to automatic transfer of the copyright to the publisher.

Authors who publish with this journal agree to the following terms:

  • Authors retain copyright and grant the journal right of first publication with the work simultaneously licensed under a Creative Commons Attribution License that allows others to share the work with an acknowledgment of the work's authorship and initial publication in this journal.
  • Authors are able to enter into separate, additional contractual arrangements for the non-exclusive distribution of the journal's published version of the work (e.g., post it to an institutional repository or publish it in a book), with an acknowledgment of its initial publication in this journal.
  • Authors are permitted and encouraged to post their work online (e.g., in institutional repositories or on their website) prior to and during the submission process, as it can lead to productive exchanges, as well as earlier and greater citation of published work
  • The journal allows the author(s) to retain publishing rights without restrictions.
  • The journal allows the author(s) to hold the copyright without restrictions.
Author Biography

Surya Pratap Singh, DDU gorakhpur University

Researh Scholar department of Computer science

References

Özsu, M.T. and Valduriez, P. (2011) Principles of Distributed Database Systems. Springer, Berlin.

Huang, Y.F. and Chen, J.H. (2001) Fragment Allocation in Distributed Database Design. Journal of Information Science

and Engineering, 17, 491 -506.

Gupta, S. and Panda, S. (2012) Vertical Fragmentation, Allocation and Re-Fragmentation in Distributed Object Relational Database Systems-(Update Queries Included). International Journal of Engineering Research and Development,4, 45-52.

Suganya, A. and Kalaiselvi, R. (2013) Efficient Fragmentation and Allocation in Distributed Database. International Journal of Engineering Research & Technology (IJERT), 2, 1 -7

Khan, S.I. and Hoque, A.S.M.L. (2010) A New Technique for Database Fragmentation in Distributed Systems. International Journal of Computer Applications, 5, 20-24.http://dx.doi.org/10.5120/940-1318

Hababeh, I. (2012) Improving Network Systems Performance by Clustering Distributed Database Sites. The Journal ofSupercomputing, 59, 249-267. http://dx.doi.org/10.1007/s11227-010-0436-9

Ceri, S., Pelagatti, G.: Distributed Databases Principles and Systems. McGraw-Hill, New York(1984)

Abdalla, H.I. (2012) A New Data Re-Allocation Model for Distributed Database Systems. International Journal ofDatabase Theory and Application, 5, 45-60

Corcoran, A.L., Hale, J.: A genetic algorithm for fragmentallocation in a distributed databasesystem. In: Proceedings of the 1994 ACM Symposium on Applied Computing (SAC 94), pp.247–250. Phoenix (1994)

Singh, A., Kahlon, K.S. and Virk, R.S. (2014) Nonreplicated Static Data Allocation in Distributed Databases Using Biogeography-Based Optimization. Chinese Journal of Engineering, 1 -9

Ahmad, I., Karlapalem, K.: Evolutionary algorithms forallocating data in distributed databasesystems. Distrib. Parallel Databases 11, 5–32 (2002)

I.Hababeh, “Improving network systems performance by clustering distributed database sites,â€The Journal ofSupercomputing, 2012; 59: 249-267

S. Kamali, P. Ghodsnia, K. Daudjee, “Dynamic dataallocation with replication in distributed systems,†IEEEExplore, 2011, 978-1-4673-0012-4/11/$26.00

I. Hababeh, M. Ramachandran, N. Bowring,“Ahighperformance computing method for data allocation indistributed database systems,†J Supercomput. 2007; 39(1): 3–18.

Seferoglu, H., Ulas¸ C. Kozat, Civanlar, M.R., Kempf,

J.2009.Congestion State-Based Dynamic FEC Algorithmfor Media Friendly Transport Layer, IEEE[16] Mao, P., Xiao, Y., Qu, G.2010.Hybrid Traffics CongestionControl Based on 2-D Hurwitz-Schur Stability, Int. Conf.Control, Automation, Robotics and Vision Singapore

Shiang, H-P., and van der Schaar, M.2011.Content-awaretcp-friendly congestion control for multimediatransmission.

Rahman, J., Saha, S., and Hasan, S.F.2012.A NewCongestion Control Algorithm for Datagram CongestionControl Protocol (DCCP) Based Real-time MultimediaApplication, International Conference on Electrical and

Computer Engineering

Zhou, D., Song, W., Shi, M. 2013.Goodput Improvement

for Multipath TCP by Congestion Window Adaptation inMulti-Radio Devices, IEEE Consumer Communicationand Networking Conference