Evaluation of Shortest Connection Algorithm for Load Balancing in Multiclient Local Networks

Authors

  • Wiwi Nopiana Author
  • Walif Mubaraq Firgiawan CV. Mandar Developer Author

Keywords:

load balancing, multi-client, Least Connection, LAN

Abstract

Load balancing is an essential mechanism for ensuring optimal workload distribution in network-based service systems. This study evaluates the performance of the Least Connection algorithm in a local area network (LAN) environment under multi-client scenarios. The algorithm was selected for its adaptive capability to distribute incoming requests based on the number of active server connections, making it more responsive to workload fluctuations than static scheduling methods. The experiment was conducted using an architecture consisting of an NGINX-based load balancer and two backend servers, with three testing scenarios involving 50, 100, and 200 simultaneous requests. The results show that Least Connection provides near-balanced request distribution, maintains stable response times, and sustains high throughput even as the workload increases. These findings align with previous studies that highlight the advantages of dynamic load balancing algorithms in systems with irregular access patterns. Therefore, the Least Connection algorithm can be recommended as an effective and lightweight load balancing solution for small- to medium-scale LAN environments.

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Published

2025-11-04

How to Cite

Evaluation of Shortest Connection Algorithm for Load Balancing in Multiclient Local Networks. (2025). Cognitio Artificial Intelligence Journal (COFIJO), 1(1), 25-32. https://cofijo.com/cofijo/article/view/4