Load balancing in distributed computing systems is crucial for optimal
resource utilization and performance enhancement. Swarm
intelligence algorithms offer promising solutions due to their ability to
mimic collective behavior observed in nature. This study proposes a
novel approach for load balancing using the Firefly Algorithm, a bio-
inspired optimization technique based on the flashing behavior of
fireflies. The algorithm is applied to dynamically distribute tasks
among nodes in a distributed computing environment. The
contribution lies in adapting the Firefly Algorithm specifically for load
balancing purposes in distributed computing systems. The study
explores the effectiveness of this approach in improving system
performance and resource utilization. Experimental evaluations
demonstrate the efficacy of the proposed approach in achieving load
balancing objectives. The Firefly Algorithm effectively redistributes
tasks among nodes, reducing processing delays and improving overall
system efficiency. Comparative analysis against existing methods
showcases the superiority of the proposed approach in various
performance metrics.