Abstract: 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 real-time 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.
Keywords: Adaptive algorithms, Adaptive Weighted Round-Robin, Cloud Computing, Load Balancing, Performance Optimization, Resource allocation, Weighted Round Robin.
Cite:
P Supriya, Enumula Sashank, Nalla Surya Prathibha, Dendukuri Amrutha Lahari, Alla Venkata Sai Nikhilesh, "AWRR: A Unique Dynamic Sustainable Load Balancing Strategy for Cloud Servers ", IJARCCE International Journal of Advanced Research in Computer and Communication Engineering, vol. 13, no. 2, 2024, Crossref https://doi.org/10.17148/IJARCCE.2024.13232.
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DOI:
10.17148/IJARCCE.2024.13232
