当前位置：首页 > 过刊浏览->2023年45卷6期
基于云计算技术的船舶通信网络动态负载均衡研究
Research on dynamic load balancing of ship communication network based on cloud computing technology
- DOI:
- 作者:
- 马卓
MA Zhuo
- 作者单位:
- 广东工业大学 计算机学院, 广东 广州 510006
School of Computer Science and Technology, Guangdong University of Technology, Guangzhou 510006, China
- 关键词:
- 云计算技术;船舶通信网络;动态负载均衡;虚拟机;服务器;遗传算法
cloud computing technology; ship communication network; dynamic load balancing; virtual machine; server; genetic algorithm
- 摘要:
- 为了提升动态负载均衡效果，提出基于云计算技术的船舶通信网络动态负载均衡方法。利用直觉模糊时间序列算法预测云计算船舶通信网络服务器负载，对比分析预测负载与服务器负载上下限阈值，决定服务器内虚拟机是否需要迁移，若需要迁移，则以最短迁移时间与最小迁移量为目标，建立迁移目标虚拟机集合选择模型，利用遗传算法求解该模型得到迁移目标虚拟机集合，并以最大剩余容量为选择策略选择目标服务器，动态在线迁移目标虚拟机集合至目标服务器完成船舶通信网络动态负载均衡。实验证明：该方法可实现船舶通信网络动态负载均衡；不同任务数量时，该方法的动态负载均衡效果均较优；不同虚拟机数量时，该方法可有效降低任务截止时间违背率。
Research the dynamic load balancing method of ship communication network based on cloud computing technology to improve the dynamic load balancing effect. Intuitive fuzzy time series algorithm is used to predict the load of cloud computing ship communication network server. Compare and analyze the upper and lower thresholds of predicted load and server load to determine whether the virtual machine in the server needs to be migrated; If migration is required, the selection model of migration target virtual machine set is established with the shortest migration time and minimum migration volume as the goal; The model is solved by genetic algorithm, and the virtual machine set of migration target is obtained; Select the target server with the maximum remaining capacity as the selection strategy. Dynamic online migration of target virtual machines to target servers to complete dynamic load balancing of ship communication network. Experiments show that this method can achieve dynamic load balancing of ship communication network. When the number of tasks is different, the dynamic load balancing effect of this method is better, when the number of virtual machines is different, this method can effectively reduce the violation rate of task deadline.
2023,45(6): 158-161 收稿日期：2022-12-01
DOI：10.3404/j.issn.1672-7649.2023.06.030
分类号：TN915
基金项目：国家自然科学基金青年项目(62002071)；广州市基础与应用基础研究项目（202102020420）
作者简介：马卓(1995-)，女，硕士，研究方向为计算机技术及云计算
