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State of Art for Distributed Databases: Faster Data Access, processing, Growth Facilitation and Improved Communications

Author

Listed:
  • Ibrahim Shamal Abdulkhaleq

    (Information System Engineering Dept., Erbil polytechnic University, KRG, Iraq)

  • Subhi R. M. Zeebaree

    (Duhok Polytechnic University, KRG, Iraq)

Abstract

The technological development has been experiencing rapid growth in the recent years. Individuals need access to required data and information more readily than ever before. To consider this need, the resource development and management are prioritized by the digital world entrepreneurs. In order to provide quick access to the individuals and provide necessary support are fundamentally important for the users. In the present aspects of the digital world, the concept of distributed database, grid system, and cloud systems have completely replaced the need for independent databases. Because of the increasing need and requirements of the computer power and capacity, digital world has been adopting different strategic concerns in order to promote and interconnect dispersedly reserved databases. The concept of distributed database provides the solution for the growing need for addressing the vital aspects of the data management and provision of the access to the required data. This article analyses the concept of database management system, considering relevant review of literature, systematic analysis, investigating the rules for distributed database management system DDBMS, finding appropriate architecture for the DDBMS solutions and providing justified recommendations based on the users’ need and perception.

Suggested Citation

  • Ibrahim Shamal Abdulkhaleq & Subhi R. M. Zeebaree, 2021. "State of Art for Distributed Databases: Faster Data Access, processing, Growth Facilitation and Improved Communications," International Journal of Science and Business, IJSAB International, vol. 5(3), pages 126-136.
  • Handle: RePEc:aif:journl:v:5:y:2021:i:3:p:126-136
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    References listed on IDEAS

    as
    1. Kosrat Dlshad Ahmed & Subhi R. M. Zeebaree, 2021. "Resource Allocation in Fog Computing: A Review," International Journal of Science and Business, IJSAB International, vol. 5(2), pages 54-63.
    2. Kavi B. Obaid & Subhi R. M. Zeebaree & Omar M. Ahmed, 2020. "Deep Learning Models Based on Image Classification: A Review," International Journal of Science and Business, IJSAB International, vol. 4(11), pages 75-81.
    3. Baydaa Hassan Husain & Subhi R. M. Zeebaree, 2021. "Improvised Distributions framework of Hadoop: A review," International Journal of Science and Business, IJSAB International, vol. 5(2), pages 31-41.
    4. Kurdistan Wns HamaAli & Subhi R. M. Zeebaree, 2021. "Resources Allocation for Distributed Systems: A Review," International Journal of Science and Business, IJSAB International, vol. 5(2), pages 76-88.
    5. Editors, 2014. "International Journal of Systems Science," International Journal of Systems Science, Taylor & Francis Journals, vol. 45(12), pages 1-1, December.
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