云计算环境下混合式思政教育资源均衡分配方法

Balanced Allocation Method of Mixed Ideological and Political Education Resources in Cloud Computing Environment

文章提出云计算环境下混合式思政教育资源均衡分配方法研究。采用ID3算法对混合式思政教育资源的具体属性进行分析,根据增益熵参量对教育资源属性进行分类处理,在资源分配阶段,利用云计算构建了目标函数,并分别设置了带宽约束、执行时间约束、延迟约束,通过分析请求中对于资源属性需求,对应分类中拟合度最高且满足约束条件的资源作为最终的分配结果。测试结果中,设计方法在不同并发请求条件下的资源分配差异系数均稳定在0.15以下,最小值仅为0.12,达到了均衡分配资源的目的。

This paper proposes a research on the balanced allocation of mixed ideological and political education resources in the cloud computing environment.The ID3 algorithm is used to analyze the specific attributes of the mixed ideological and political education resources.The attributes of the education resources are classified according to the gain entropy parameters.In the resource allocation phase,the cloud computing is used to build the objective function,and the bandwidth constraints,execution time constraints,and delay constraints are set respectively.By analyzing the resource attribute requirements in the request,The resources with the highest fitting degree and satisfying the constraint conditions in the corresponding classification are taken as the final allocation results.In the test results,the resource allocation difference coefficients of the design method under different concurrent request conditions are stable below 0.15,and the minimum value is only 0.12,achieving the goal of balanced resource allocation.