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.