AWRR: A Unique Dynamic Sustainable Load Balancing Strategy for Cloud Servers

In cloud computing, optimal load distribution across servers is essential for robust system performance.This paper presents the Adaptive Weighted Round-Robin (AWRR) algorithm, a fresh approach to dynamic load balancing in cloud environments.Distinctively, AWRR employs adaptive weights that are fine-tuned according to each server's realtime load.We evaluated the efficacy of AWRR using several parameters including request distribution fairness, server response time, and system throughput.Preliminary findings indicate a significant improvement in load balance with AWRR, as evidenced by a 15% decrease in response time variability among servers and a 20% increase in overall system throughput when compared to conventional round-robin methods.The core mathematical formulations and experimental setup are discussed, highlighting the potential of AWRR to revolutionize load balancing practices by reducing system bottlenecks and enhancing cloud server efficiency.