Dynamic Priority-Based Round Robin: An Advanced Load Balancing Technique for Cloud Computing

Abstract

An imbalance of load is an essential problem in cloud computing where the division of work between virtual machines is not well-optimized. Performance bottlenecks result from this unequal resource allocation, which keeps the system from operating at its full capability. Managing this load-balancing issue becomes critical to improving overall efficiency, resource utilization, and responsiveness as cloud infrastructures strive to respond to changing workloads and scale dynamically. Crossing the load-balancing landscape introduced a new strategy to effectively improve the load-balancing factor and ways to improve load-balancing performance by understanding how existing algorithms work, an effective method of load balancing. The “Dynamic Priority Based Round Robin” algorithm is a new approach that combines three different algorithms to improve cloud load balancing. This method improves load balancing by taking the best aspects of previous algorithms and improving them. It works remarkably well and responds quickly to commands, greatly reducing processing time. This DPBRR algorithm also plays an important role in improving cloud load balancing in many ways, including improving resource consumption, inefficiency, scalability, fault tolerance, cost optimization, and other aspects. Since it is a combination of algorithms, it may have its drawbacks, but its cloud computing enhancements are very useful for doing many tasks quickly. Strength and adaptability are quite effective, as is adaptability.