Design of Disaster Recovery and Load Balancing Strategies in Traditional Centralized Distributed Web Systems

Qingqing Song; Zhen Wu; Shaoliang Xia

doi:10.5281/zenodo.10836116

Authors

Qingqing Song Belarusian State University
Zhen Wu Nanjing University of Aeronautics and Astronautics
Shaoliang Xia Belarusian State University

DOI:

https://doi.org/10.5281/zenodo.10836116

References:

9

Keywords:

Centralized distributed architecture, WEB system, Disaster recovery strategy, Redundancy strategy, Load balancing, Database Load

Abstract

This paper proposes an effective disaster recovery strategy and load balancing strategy for web systems based on traditional centralized distributed architecture, which are widely used in small and medium-sized enterprises. In the disaster recovery strategy, we have designed a global backup strategy and single node backup strategy to adapt to different system requirements and fault recovery scenarios. In the load balancing strategy, we take the database as the starting point, calculate the load proportion of task execution nodes, effectively determine the load status of each task execution node, and make the load of each task execution node in the distributed system tend to be balanced. The research results of this paper have certain reference value for improving early developed web systems with the same architecture. Future research will focus on optimizing the efficiency of disaster recovery strategies, improving the accuracy of load judgment, and exploring innovative methods to enhance the scalability and stability of web systems based on centralized distributed architecture.

Downloads

Download data is not yet available.

Metrics

Metrics Loading ...

Author Biographies

Qingqing Song, Belarusian State University

Faculty of Applied Mathematics and Computer Science; Belarusian State University; 4 Nezavisimosti Avenue, Minsk 220030, Belarus; e-mails: fpm.sunC@bsu.by

Zhen Wu, Nanjing University of Aeronautics and Astronautics

Nanjing University of Aeronautics and Astronautics; No. 29, Yudao Street, Qinhuai District, Nanjing City, Jiangsu Province 210016, China; e-mails: 13wuzhen@sina.com

Shaoliang Xia, Belarusian State University

Faculty of Applied Mathematics and Computer Science; Belarusian State University; 4 Nezavisimosti Avenue, Minsk 220030, Belarus; e-mails: fpm.sya@bsu.by

References

Laudon, K. C., & Laudon, J. P. (2017). Essentials of management information systems. Pearson.

Elser, A. (2005). Reliable distributed systems: technologies, web services, and applications. Springer Science & Business Media.

Memon, N., Vighio, M. S., & Hussain, Z. (2019). ‘Web services failures and recovery strategies: A review. Indian J. Sci. Technol, 12(43), 1-6.

Jader, O. H., Zeebaree, S. R., & Zebari, R. R. (2019). A state of art survey for web server performance measurement and load balancing mechanisms. International Journal of Scientific & Technology Research, 8(12), 535-543.

Al Ayubi, S. U., & Nugrahaningsih, N. (2009, December). Centralized-star architecture of web service node as integration solution in complex organization. In Proceedings of the 11th International Conference on Information Integration and Web-based Applications & Services (pp. 599-603).

Li, D., Cai, H., Yao, X., & Wang, J. (2005). Exploiting redundancy to construct energy-efficient, high-performance RAIDs. Department of Computer Science and Engineering University of Nebraska-Lincoln.

Ghomi, E. J., Rahmani, A. M., & Qader, N. N. (2017). Load-balancing algorithms in cloud computing: A survey. Journal of Network and Computer Applications, 88, 50-71.

Banga G, Druschel P. Measuring the capacity of a Web server under realistic loads[J]. World Wide Web, 1999, 2(1-2): 69-83.

Salah, T., Zemerly, M. J., Yeun, C. Y., Al-Qutayri, M., & Al-Hammadi, Y. (2016, December). The evolution of distributed systems towards microservices architecture. In 2016 11th International Conference for Internet Technology and Secured Transactions (ICITST) (pp. 318-325). IEEE.