一种改进的基于遗传算法的Map/Reduce模型

An Improved Map/Reduce Model Based on Genetic Algorithm

为了解决数据存储的安全性问题,提出了一种云计算环境下的改进型Map/Reduce模型。模型改进了传统Map/Reduce模型没有考虑集群中大量异构节点的计算性能差异问题,通过采用最小化最大计算时间的目标函数进行建模,实现了一种更高效、更合理利用资源的分配算法。

In order to solve the problem of the security of the data to be stored, this paper presents an improved Map/Reduce model in cloud computing environment. This new model has improved the traditional Map/Reduce model which doesn＇t consider the computational performance difference in a number of cluster heterogeneous nodes so as to achieve a more rational allocation algorithm to use resource effectively by means of using the objective function to minimize the maximum computation time to model.