Abstract
Load balancing plays a vital role in the effective management of resources within cloud computing environments. As the use of cloud technologies continues to expand rapidly, it becomes increasingly important to ensure efficient allocation of resources and address performance issues. The utilization of load balancing techniques becomes crucial in the distribution of workloads across multiple servers, thereby optimizing resource usage and enhancing system performance. Swarm intelligence-based load balancing presents a promising approach to achieving sustainable resource allocation in cloud environments. By leveraging self-organization and decentralized decision-making principles, swarm intelligence algorithms can optimize resource utilization, minimize energy consumption, and improve overall system performance. This chapter offers a comprehensive overview of this topic, emphasizing the potential advantages, challenges, and future directions associated with load balancing using swarm intelligence within the context of sustainable development in cloud environments.
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