Cloud computing provides on-demand services using virtualized resources.
As cloud computing adoption increases, managing resource utilization efficiency while maintaining high performance becomes a critical challenge. This paper explores various load balancing algorithms—including Round Robin, Throttled, and Honey Bee Behavior-based load balancing (HBB-LB)—aimed at achieving equitable workload distribution across virtual machines. The study analyzes techniques for identifying overloaded nodes and migrating workloads to underloaded machines to reduce response time, minimize energy consumption, and avoid Service Level Agreement (SLA) violations. I. Introduction load balancing virtual machines
Inefficient resource allocation leads to overburdened servers, high response times, and poor user experience. This document provides a structured outline, key themes,
This document provides a structured outline, key themes, and foundational content for an academic or technical paper on "Load Balancing Virtual Machines (VMs) in Cloud Computing." This document provides a structured outline
Load balancing of VMs ensures that no single physical host or VM becomes a bottleneck, maximizing resource utilization.