The field of resource allocation is moving towards more efficient and optimized solutions, with a focus on energy efficiency and reduced latency. Researchers are exploring new approaches to scheduling and allocation, including the use of constraint programming, mixed-integer programming, and game-based frameworks. These innovations have the potential to improve the performance of various systems, from cyber-physical systems to data centers and cloud computing. Notable papers in this area include: Optimal Multi-Constrained Workflow Scheduling for Cyber-Physical Systems, which proposes an optimal scheduling approach to minimize latency in edge-hub-cloud cyber-physical systems. Energy-Workload Coupled Migration Optimization Strategy for Virtual Power Plants, which introduces a game-based coupled migration framework to enhance resource scheduling flexibility and achieve precise demand response curve tracking.