DISTRIBUTED DATABASE SYSTEMS: ISSUES IN CONCURRENCY CONTROL, REPLICATION AND FAULT TOLERANCE

Authors

  • Dr. Rasika Khandal Assistant Professor, B.C.A. Department, Sudha Sureshbhai Maniar College of Computer and Management, RTM Nagpur University, Nagpur, India

DOI:

https://doi.org/10.29121/shodhkosh.v5.i7.2024.5915

Keywords:

Distributed Databases, Concurrency Control, Replication, Fault Tolerance, Consistency, Data Availability, Transaction Management

Abstract [English]

This research paper delves with the great problems in distributed database systems particularly those issues about concurrency control, data replication and fault tolerance. Due to the increase in size of organizations, as well as the need to store, access and retrieve information that is fast, reliable and secure in various locations, distributed databases have been necessitated. Nonetheless, data consistency is very hard to deal with and the challenge of failure and maintain synchronization in multiple sites is very challenging. To get an idea of what is now happening with distributed databases, this paper pinpoints the fundamental issues, reviews the current techniques available and performs a simple statistical analysis.

References

Kumar, R., & Sharma, V. (2008). Performance Analysis of Concurrency Control Techniques in Distributed Databases. International Journal of Computer Science and Technology, 2(3), 45–50.

Patel, H., & Mehta, A. (2010). Fault Tolerance in Distributed Systems: Challenges and Solutions. Journal of Engineering and Technology, 4(1), 34–39.

Sharma, N., & Gupta, S. (2013). A Study on Replication Techniques in Distributed Databases. International Journal of Advanced Computer Research, 3(12), 56–62.

Rani, P., & Bhardwaj, A. (2015). Comparative Study of Concurrency Control Techniques in Distributed Database Systems. International Journal of Computer Applications, 121(3), 22–27. https://doi.org/10.5120/ijca2015905932 DOI: https://doi.org/10.5120/ijca2015905932

Joshi, M., & Kulkarni, S. (2016). A Review on Data Replication Strategies in Distributed Database Systems. International Journal of Computer Science Trends and Technology (IJCST), 4(2), 89–93.

Verma, K., & Singh, A. (2018). Concurrency Control in Distributed Databases Using Timestamp Ordering. International Journal of Engineering and Technology (IET), 7(6), 12–18.

Thakur, S., & Choudhary, R. (2019). An Overview of Fault Tolerant Techniques in Distributed Systems. Journal of Emerging Technologies and Innovative Research (JETIR), 6(4), 678–682.

Nair, R., & Iyer, A. (2020). Evaluating Performance of Distributed Databases in Cloud Environments. International Journal of Recent Technology and Engineering (IJRTE), 8(6), 2305–2310.

Bhosale, S. A., & Patil, R. S. (2022). A Survey on Challenges in Distributed Databases: Concurrency, Replication and Fault Tolerance. Journal of Information Technology and Software Engineering, 12(1), 21–27.

Deshmukh, A., & Kaur, G. (2023). Enhancing Reliability in Distributed Database Systems through Dynamic Replication and Recovery. International Journal of Scientific Research in Computer Science, Engineering and Information Technology, 8(2), 74–80.

Downloads

Published

2024-07-31

How to Cite

Khandal, R. (2024). DISTRIBUTED DATABASE SYSTEMS: ISSUES IN CONCURRENCY CONTROL, REPLICATION AND FAULT TOLERANCE. ShodhKosh: Journal of Visual and Performing Arts, 5(7), 1477–1482. https://doi.org/10.29121/shodhkosh.v5.i7.2024.5915