Efficiency and Scalability of Distributed Databases

Authors

  • Tosha Amit Joshi

Keywords:

Efficiency, Scalability, Distributed Databases, Scalability Metrics, Horizontal vs. Vertical Scalability, Scalability Graphs, Speed Up in Databases, Types of Scalabilities

Abstract

Distributed databases have become a cornerstone of modern data management systems, offering unparalleled advantages in terms of scalability, high availability, and fault tolerance. This research paper delves into the efficiency and scalability of distributed databases, with a focus on key concepts, metrics, and the various factors influencing their performance. We explore the differences between horizontal and vertical scalability, the notion of speed up, and the critical types of scalabilities and speed up. Additionally, we discuss the factors that impact scalability and evaluate various types of databases. Understanding the efficiency and scalability of distributed databases is essential for architects and administrators to make informed decisions in the era of big data and complex applications. This research paper provides an overview of the efficiency and scalability of distributed databases. For more in-depth analysis and specific case studies, further research and investigation are recommended.

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References

• Abdallah, M., & Le, H. C. (2005, November). Scalable Range Query Processing for Large-Scale Distributed Database Applications. In IASTED PDCS: 433-439.

• Cho, H. J., & Chung, C. W. (2005, August). An efficient and scalable approach to CNN queries in a road network. In International Conference on VLDB (Vol. 2, pp. 865-876). International Conference on VLDB.

• Dwivedi, Yogesh K., Laurie Hughes, Arpan Kumar Kar, Abdullah M. Baabdullah, Purva Grover, Roba Abbas, Daniela Andreini, Iyad Abumoghli, Yves Barlette, Deborah Bunker, Leona Chandra Kruse, Ioanna Constantiou, Robert M. Davison, Rahul De, Rameshwar Dubey, Henry Fenby-Taylor, Babita Gupta, Wu He, Mitsuru Kodama, Matti M, Bhimaraya Metri, Katina Michael, Johan Olaisen, Niki Panteli, Samuli Pekkola, Rohit Nishant, Ramakrishnan Raman, Nripendra P. Rana, Frantz Rowe, Suprateek Sarker, Brenda Scholtz, Maung Sein, Jeel Dharmeshkumar Shah, Thompson S.H. Teo, Manoj Kumar Tiwari, Morten Thanning Vendelo and Michael Wade (2022). Climate change and COP26: Are digital technologies and information management part of the problem or the solution? An editorial reflection and call to action. International Journal of Information Management 63 (2022) 102456

• Jogalekar, P., & Woodside, M. (2000). Evaluating the scalability of distributed systems. IEEE Transactions on parallel and distributed systems, 11(6), 589-603.

• Juárez, R., & Bordel, B. (2023). NeoStarling: An Efficient and Scalable Collaborative Blockchain-Enabled Obstacle Mapping Solution for Vehicular Environments. Sensors, 23(17), 7500.

• Lian, W., Mamoulis, N., & Yiu, S. M. (2004). An efficient and scalable algorithm for clustering XML documents by structure. IEEE transactions on Knowledge and Data Engineering, 16(1), 82-96.

• Luyi Qu, Qingshuai Wang, Ting Chen, Keqiang Li, Rong Zhang, Xuan Zhou, Quanqing Xu, Zhifeng Yang, Chuanhui Yang, Weining Qian and Aoying Zhou (2022). Are current benchmarks adequate to evaluate distributed transactional databases? BenchCouncil Transactions on Benchmarks, Standards and Evaluations 2 (2022) 100031

• Ramsey, Z., Palter, J. S., Hardwick, J., Moskoff, J., Christian, E. L., & Bailitz, J. (2018). Decreased nursing staffing adversely affects emergency department throughput metrics. Western Journal of Emergency Medicine, 19(3), 496.

• Simmonds, R. M., Watson, P., Halliday, J., & Missier, P. (2014, June). A platform for analysing stream and historic data with efficient and scalable design patterns. In 2014 IEEE World Congress on Services: 174-181.

Additional Files

Published

30-10-2023

How to Cite

Tosha Amit Joshi. (2023). Efficiency and Scalability of Distributed Databases. Vidhyayana - An International Multidisciplinary Peer-Reviewed E-Journal - ISSN 2454-8596, 9(si1). Retrieved from http://j.vidhyayanaejournal.org/index.php/journal/article/view/1449