An Integrated Algorithm for Load Balancing Discrepancies in Cloud Computing Using Weighted Least Connection

Cloud computing is expanding faster than anticipated; hence, load balancing must be done effectively. Conventional methods like Round Robin and static prioritization tend to struggle under dynamic demand, resulting in resource hoarding and headaches from bottlenecking. To avoid these limitations, the proposed Weighted Least Connection (WLC), which introduces manipulation of server weights dynamically, where server weight is recorrected based on live load metrics. It comprises adaptive weight adjustments, load checking in real time and task allocation based on server capacity to improve resilience and scalability together. The comparative analysis shows that WLC system reduces latency up to 25% and improved resource utilization across the servers by (41.67%). Medium and large task times also show an improvement of 33.33%-time savings for completion of a task. These highlights the ability of WLC in balancing cloud environments, and dynamic load balancing techniques as an alternative to static load balancing methods.