Load balancing using improved weighted round robin algorithm in cloud computing environment

Load balancing strategies maximise resource use, system efficiency, reliability, high access, network traffic management, and response to changing circumstances. This abstract provides the improved weighted round robin (IWRR) algorithm for cloud computing load balancing. Cloud infrastructure relies on load balancing to optimise resource use and server performance. IWRR dynamically adjusts server weights depending on real-time performance parameters like CPU utilisation and request latency, improving weighted round robin. Load-balancing solutions like the IWRR algorithm may improve cloud infrastructure scalability, dependability, and performance. Load balancing methods like round robin, IP hash and weighted round robin help distribute internet traffic across servers. For requests from the same domain name, IP hash is used, and balanced round robin is used when server capacity allows. These methods can be assessed by reaction time and capacity. Weighted round robin (WRR) dynamically assigns requests by server capabilities to reduce response time and increase throughput. Automatically distributing more requests to capable servers improves system speed. These methods eliminate resource waste, enable scalability based on consumer demand, reduce disruptions, and improve client experience by uniformly dispersing jobs over multiple resources. Load balancing lets online service providers use their physical capabilities to create stable, adaptable, and excellent solutions. Copyright © 2024 Inderscience Enterprises Ltd.