Home > Archive > 2018 > Volume 8 Number 5 (Oct. 2018) >
IJMLC 2018 Vol.8(5): 472-476 ISSN: 2010-3700
DOI: 10.18178/ijmlc.2018.8.5.731

Distributed Database Problems, Approaches and Solutions — A Study

Md. Shohel Rana, Mohammad Khaled Sohel, and Md. Shohel Arman

Abstract—The distributed database system is the combination of two fully divergent approaches to data processing: database systems and computer network to deliver transparency of distributed and replicated data. The key determination of this paper is to achieve data integration and data distribution transparency, study and recognize the problems and approaches of the distributed database system. The distributed database is evolving technology to store and retrieve data from several location or sites with maintaining the dependability and obtainability of the data. In the paper we learn numerous problems in distributed database concurrency switch, design, transaction management problem etc. Distributed database allows to end worker to store and retrieve data anywhere in the network where database is located, during storing and accessing any data from distributed database through computer network faces numerous difficulties happens e.g. deadlock, concurrency and data allocation using fragmentation, clustering with multiple or single nodes, replication to overcome these difficulties it is essential to design the distributed database sensibly way.

Index Terms—DDBMS, network, DDBMS rules, problems, approaches, PCDM, SCDM, DDA.

Md. Shohel Rana is with School of Computing, The University of Southern Mississippi, Hattiesburg, MS 39406 USA (e-mail: md.rana@usm.edu).
Mohammad Khaled Sohel and Md. Shohel Arman are with Daffodil International University, Dhaka, Bangladesh (e-mail: khaledsohel@daffodilvarsity.edu.bd, arman.swe@diu.edu.bd).


Cite: Md. Shohel Rana, Mohammad Khaled Sohel, and Md. Shohel Arman, "Distributed Database Problems, Approaches and Solutions — A Study," International Journal of Machine Learning and Computing vol. 8, no. 5, pp. 472-476, 2018.

General Information

  • E-ISSN: 2972-368X
  • Abbreviated Title: Int. J. Mach. Learn.
  • Frequency: Quaterly
  • DOI: 10.18178/IJML
  • Editor-in-Chief: Dr. Lin Huang
  • Executive Editor:  Ms. Cherry L. Chen
  • Abstracing/Indexing: Inspec (IET), Google Scholar, Crossref, ProQuest, Electronic Journals LibraryCNKI.
  • E-mail: ijml@ejournal.net

Article Metrics in Dimensions