Source IP Hashing Algorithm for Load Balancing in Cloud Server
M. Gokul, N. Rajkumar · 2025
The high trend in the adoption of online banking makes complex load balancing highly crucial to maximize computing capacity in the cloud, data management, and security. This research focuses on analyzing the Source IP Hashing method of load balancing where client requests are evenly distributed depending on their source IP address to provide persistence of client sessions and protect against session hijacking among other risks. The proposed framework, captured in Java, follows a systematic procedure of directing the client requests to the most appropriate servers using hash values generated from the IP address of the clients reducing server resource consumption. The paper also yields numerical results comparing throughput and system responsiveness with pretested significant enhancement affirming that even under high traffic the system achieves high responsiveness and reliability. This analysis proves that Source IP Hashing helps deliver high success rates in request routing while maintaining a 99% retention of session persistence and improving server utility. Thus, the study also proves that Source IP Hashing algorithm enhances the safety and security of data even when distributing the practical load among different servers, which makes it a more innovative solution for easing the problems of cloud-based financial services of the present days.