云计算环境下移动大数据合理分流方法

Mobile Big Data Logical Distribution Method in Cloud Computing Environment

采用传统方法对移动大数据进行分流时,结果不合理,对不同处理器的分流均衡性较差。为此,提出一种新的移动大数据合理分流方法。给出云计算环境下移动大数据分流平台整体结构,在云计算环境中每个可编程交换机上安装移动大数据分流单元。将移动大数据分流问题转换成求解最优解问题,通过状态反馈实现分流。将优化分解方法与拉格朗日乘法结合在一起完成分布式计算,获取移动大数据在链路上的均衡分流模型。采用交换机分流单元获取云计算环境下网络的分流状态,求出此时收益函数的偏导数,将两者相加获取最终分流结果。对移动大数据分流延迟进行分析。实验结果表明,所提方法能够保证分流均衡性和合理性。

When the traditional method is used to offload mobile big data,the result is unreasonable and the shunting balance to different processors is poor.To this end,a new method for decentralized mobile big data is proposed.Given the overall structure of mobile big data distribution platform in cloud computing environment,mobile big data shunt unit is installed on each programmable switch in cloud computing environment.The problem of mobile big data shunting is transformed into the problem of solving the optimal solution,and the shunting is realized by state feedback.The optimal decomposition method is combined with Lagrange multiplication to complete the distributed computing and obtain the balanced traffic diversion model of mobile big data on the link.The switch shunt unit is used to obtain the diversion status of the network in the cloud computing environment.The partial derivative of the revenue function at this moment is obtained and the two are summed to obtain the final shunt result.Analysis of mobile big data shunt delay,the experimental results show that the proposed method can ensure the balance and rationality of diversion.