Load Balancing and Autoscaling in a 5G Dense Network using Cloud Computing

Load balancing and auto-scaling are vital to the challenges of 5G dense networks where high-speed data and low latency in most applications are critical. This work explores the potential use of cloud computing in the dynamic allocation of resources with seamless performance avoiding network congestion. With the real-time monitoring and predictive algorithms, the system will adapt to the changes in the demand that has resulted in up to a 30% reduction in latency and 25% in throughput than the conventional approach not only enhances network efficiency and reliability but also reduces operational costs, offering a practical solution for service providers and a better experience for users.