A Blockchain Framework to Enhance Optimization using Honey Bee Algorithm for Load Balancing in Collaborative Environment

Abstract

In recent years, distributed computing systems have gained significant popularity due to their ability to handle vast computational resources and data processing in real time. Collaborative environments, such as cloud computing and decentralized networks, require efficient mechanisms for managing resources and distributing computational loads. Load balancing in such systems is crucial to avoid overloading nodes, ensure efficient utilization of resources, and minimize delays in service delivery. A common issue in distributed environments is the dynamic nature of workloads, leading to potential inefficiencies in static load balancing techniques. Load balancing remains a significant challenge in collaborative distributed environments. In this paper, we propose a novel framework utilizing blockchain technology to enhance load balancing and resource optimization in collaborative environments. The framework is implemented using Java and leverages a bio-inspired honey bee algorithm for load balancing. By integrating decentralized, secure blockchain mechanisms with adaptive optimization algorithms, we aim to improve the overall performance, reliability, and scalability of distributed systems. The proposed system dynamically adjusts resource allocation in real-time, mimicking the self-organizing behavior of honey bee colonies. Results show that the Java-based blockchain framework improves load distribution, reduces latency, and increases the throughput compared to traditional methods, making it suitable for large-scale collaborative applications.