摘要
船舶网络在信息管理方面发挥着重要作用,但船舶网络的性能无法满足数据的增长速度,为此引入云计算技术来提升船舶网络的海量数据处理能力。如何利用资源调度策略提升船舶网络性能是云计算研究的重点。本文提出基于遗传算法的船舶网络云资源调度模型,遗传算法存在搜索后期效率低、易早熟等问题,为了解决算法存在的问题,根据元胞自动机原理,对遗传算法进行改进,提高资源调度的效率,提升船舶网络的性能。
Ship network in ship information management plays an important role,however,the performance of the network in ship unable to meet the growth rate of the data. Cloud computing technology is used to improve the capacity of the mass data processing of the ship network. How to use the resource scheduling strategy to improve the performance of the ship network is the focus of the study of cloud computing. Is proposed in this paper based on genetic algorithm of ship network cloud resource scheduling model,genetic algorithm search late efficiency low,prone to premature problem,in order to solve the problem algorithm,according to the theory of cellular automata,of genetic algorithm was improved,and improve the efficiency of resource scheduling,and improves the performance of ship's network.
出处
《舰船科学技术》
北大核心
2016年第8X期142-144,共3页
Ship Science and Technology
基金
河南省科技厅资助项目(152300410170)
关键词
云计算
资源调度
遗传算法
cloud computing
resource schedule
genetic algorithm