基于纳什均衡解的大数据信息资源分配方法

Big Data Information Resource Allocation Method Based on Nash Equilibrium Solution

传统的信息资源分配方法存在效率低的缺点,因此设计了基于纳什均衡解的大数据信息资源分配方法。首先,建立一个非合作博弈的信息资源分配模型;其次,对该模型进行求解,证明纳什均衡解的存在性与唯一性;再次,根据存在性与唯一性创建新的大数据信息资源分配方法;最后,进行对比实验,证明设计方法在资源分配的效率方面优于传统方法,提高了网络资源的利用率。

The traditional information resource allocation method has the disadvantage of low efficiency.Therefore,to design a big data information resource allocation method based on the Nash equilibrium solution,first establish a non-cooperative game information resource allocation model,solve the model,and prove the existence of the Nash equilibrium solution Based on the existence and uniqueness,a new big data information resource allocation method was created,and comparative experiments were carried out to prove that the design method was superior to the traditional method in terms of resource allocation efficiency,and improved the utilization rate of network resources.