云计算环境下网络用户信息资源优化调度

摘要

This paper proposes a scheduling method for resource optimization of network user information under cloud computing environment based on genetic algorithm.Firstly,the information resources are abstracted into independent network virtual resources by virtualization technology,and then,evaluation model is introduced by considering network bandwidth and bandwidth utilization,and task sets of different data resources are dispatched in accordance with task execution speed predicted by network node situation.Finally,total weight of scheduling task of resource optimization is obtained and taken as fitness value of parameter calculation.The experimental results show that the mentioned method has advantages in aspect of resource scheduling efficiency and resource utilization.%云计算环境下对网络用户信息资源的优化调度,能够有效实现云计算环境下资源调度的优化.对网络用户信息资源的调度,需要先获得信息资源优化调度任务的总权值,并将其作为参量计算适应度值,完成对信息资源的优化调度.传统方法通过评估形同节点的性能,选取最低成本评估策略,但忽略了获得网络用户信息资源优化调度任务的总权值,导致调度精度偏低.提出基于遗传算法的云计算环境下网络用户信息资源优化调度方法.将信息资源通过虚拟化技术抽象为彼此独立的网络虚拟资源,通过考虑网络带宽、带宽利用率等参数,引入评价模型,依据网络节点情况预测任务执行速度,对不同数据资源的任务集合进行调度安排,获得资源优化调度任务的总权值并将其作为参量计算适应度值.实验结果表明,所提方法在资源调度效率与资源利用率方面具有优势.