Optimal scheduling algorithm of shared cloud logistics resources for fresh products

Dianzi Jishu Yingyong

卷:44

Li Meian¹  Zuo Yuhui¹  Shi Baozhu¹ 

[1] College of Computer and Information Engineering，Inner Mongolia Agricultural University，Hohhot 010018，China;

关键词: cloud logistics;    resource scheduling;    NSGA-II programming model;    service request;    cloud computing;   

DOI  :  10.16157/j.issn.0258-7998.180677

来源: DOAJ

【 摘 要 】

In order to improve the logistics level of fresh prairie fresh products and promote the transformation and upgrading of the logistics of fresh grassland products, a new concept of cloud logistics is put forward. On this basis, an optimal scheduling algorithm for shared cloud logistics resources is designed for fresh prairie fresh products.First, we use DFS, Mapreduce and other big data related technologies to achieve parallel computing and design new logistics resource encapsulation and organization form in this algorithm. We analyze the existing problems of cloud logistics resource scheduling algorithm and propose solutions. A shared cloud logistics resource optimization scheduling algorithm for grassland fresh products is adopted. Dynamic NSGA-II（Multiobjective genetic algorithm） resource planning model is used to find a fast solution for NSGA-II models, and provide a solution for cloud logistics to break through the bottleneck of development. Experiments show that the algorithm is efficient, applicable and stable, and it can effectively improve the current level of fresh grassland logistics, and promote the transformation and upgrading of the current logistics enterprises.

【 授权许可】

Unknown