Enhancing Resource Allocation in Cloud Computing: An Improved Round Robin Algorithm Approach - A Review

This review evaluates the paper titled "Optimizing Resource Allocation in Cloud Computing: A Modified Round Robin Algorithm Approach," which introduces an enhanced version of the Round Robin algorithm for resource allocation in cloud computing environments. The paper addresses the challenge of efficiently utilizing resources by proposing a modified algorithm that considers dynamic resource demands. Through a comprehensive analysis of the methodology, results, and implications of this approach, this review aims to assess its effectiveness and potential for practical implementation.The paper provides a detailed overview of existing resource allocation techniques and identifies the limitations of traditional Round Robin algorithms in handling varying resource demands. The proposed modified Round Robin algorithm incorporates features such as workload monitoring, load balancing, and dynamic resource allocation to optimize resource allocation in cloud environments. The experimental evaluation compares the proposed algorithm with conventional Round Robin approaches using metrics such as resource utilization, response time, and throughput. The results demonstrate the superiority of the modified Round Robin algorithm in terms of resource allocation efficiency, workload balancing, and system performance. The paper's strengths lie in its clear presentation, logical flow of ideas, and practical insights into the algorithm's implementation. However, it lacks a comprehensive discussion of potential limitations and challenges associated with the proposed algorithm, highlighting the need for further investigation and comparative studies.