Intelligent Load Balancing Algorithm for Cloud Computing Environments
Keywords:
Cloud Computing, Load Balancing, Artificial Intelligence, Resource Allocation, Virtual Machines, OptimizationAbstract
Cloud computing environments face significant challenges in resource management, including uneven workload distribution, server overload, and performance degradation. Load balancing is a critical technique used to optimize resource utilization and ensure system stability. This paper proposes an intelligent load balancing algorithm based on adaptive decision-making and predictive analytics. The algorithm dynamically distributes incoming tasks across virtual machines (VMs) by analyzing CPU usage, memory consumption, and network latency. Simulation results show that the proposed method improves response time, reduces makespan, and increases system throughput compared to traditional algorithms such as Round Robin and Least Connection. The study demonstrates that integrating intelligence into load balancing significantly enhances cloud performance and scalability.
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