"研究云计算下的物品组合分配问题计算复杂性"

atrix model and vertex weighted matrix model for the combinatorial allocation problem in cloud computing. We then analyze the time complexity and space complexity of each model, and compare the performance of these models in terms of solving the combinatorial allocation problem. Our research provides important insights into the computational complexity of combinatorial allocation problems in cloud computing, and offers valuable guidance for designing efficient algorithms to solve these problems. The findings of this study contribute to the theoretical foundation of cloud computing and have practical implications for optimizing resource allocation in cloud environments. Overall, this paper sheds light on the challenging nature of combinatorial allocation problems in cloud computing and lays the groundwork for future research in this area.