Copyright © 2026 Authors retain the copyright of this article. This article is an open access article distributed under the Creative Commons Attribution License which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.

@article{172721,
        author = {Ashokkumar.R and Ashok Kumar.k and Gokul.A and Murali.T},
        title = {AWRR ALGORITHM FOR DATA CENTER TO OPTIMIZE CLOUD COMPUTING},
        journal = {International Journal of Innovative Research in Technology},
        year = {2025},
        volume = {11},
        number = {9},
        pages = {768-773},
        issn = {2349-6002},
        url = {https://ijirt.org/article?manuscript=172721},
        abstract = {Weighted Round Robin (WRR) is a extensively used load-balancing algorithm that distributes requests amongst a couple of servers primarily based on predefined weights. However, regular WRR techniques go through from inefficiencies when managing dynamic workloads, various server capacities, and fluctuating community conditions. This paper provides an Advanced Weighted Round Robin (AWRR)Algorithm, which enhances ordinary WRR by way of incorporating dynamic weight adjustments, adaptive load monitoring, and predictive analytics the proposed AWRR algorithm dynamically updates server weights based totally on real-time overall performance metrics, which include CPU utilization, response time, and request queue length. Additionally, it integrates laptop studying methods to predict workload patterns and proactively modify weights, making sure best useful resource utilization and decreased latency. The implementation of honest loader distribution mechanisms prevents server overloads and enhances ordinary gadget stability.},
        keywords = {Cloud computing, load balancing, time span, optimization, task scheduling.},
        month = {March},
        }