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针对虚拟仿真运行环境的动态构建问题,通过分析一些改进的资源分配算法解决了传统算法在仿真云环境下资源利用率低和不支持动态构建的问题.首先,通过在蚂蚁算法的初始值设置中增加指引因子并改进信息素的更新策略来提高云环境中资源分配的效率;其次,分析了被改进的蚂蚁算法在动态构建虚拟仿真环境中的可行性,并对此构建了虚拟仿真环境的过程模型;最后,通过仿真对比实验发现,改进的算法能够有效提高蚂蚁算法的计算速度和收敛速度.
Aiming at the problem of dynamic construction of virtual simulation environment, this paper analyzes some of improved resource allocation algorithms to solve the problem of low resource utilization and unsupported dynamic construction in traditional simulation cloud environment.Firstly, by setting the initial value of ant algorithm, Increase the guidance factor and improve the pheromone update strategy to improve the efficiency of resource allocation in cloud environment.Secondly, the feasibility of the improved ant algorithm in dynamically building a virtual simulation environment is analyzed, and the process of the virtual simulation environment is constructed Finally, through the simulation experiment, it is found that the improved algorithm can effectively improve the computational speed and convergence speed of the ant algorithm.