Research on Resource Allocation in Cloud Computing focuses on developing strategies and algorithms to optimize the use of computational resources, enhance system performance, and reduce operational costs. Recent studies include autonomous dynamic resource allocation models that improve task scheduling and system responsiveness, as well as comprehensive analyses of existing techniques to identify challenges and performance gaps in cloud environments. Systematic reviews highlight key strategies for efficient workload management, scalability, and cost-effectiveness, emphasizing the importance of advanced algorithms and intelligent allocation mechanisms to meet the growing demands of modern cloud computing systems.