摘要
针对当前采用云计算下船舶移动网络大数据存储方法由于存储过程中,没有对数据进行处理分类,容易造成数据丢失,并且没有考虑存储过程中的能耗因素,导致存储过程中,能耗较多,占用的内存空间较大。为了保证船舶移动网络数据存储的完整性,降低存储能耗,提出基于树型路由的船舶网络大数据存储方法,通过建立云计算环境下船舶移动网络覆盖区域的二维网格,确定每个节点在网格中的位置,计算节点的调度因子,在此基础上,利用树型路由的方法,分别计算节点是叶子节点和非叶子节点时的能量消耗,动态的规划存储节点,使节点能量均衡和所有节点的能耗之和最小,从而实现基于树型路由的云计算环境下船舶移动网络大数据的有效存储方法,实验结果表明,本文所提存储方法能够获得较好的能量均衡,总能耗较小,降低了存储数据查询花费的时间,保证了数据存储的完整性。
For the current use of cloud computing under the ship mobile network large data storage method due to the storage process, no data processing classification, resulting in data storage location confusion, and did not take into account the energy consumption in the storage process, resulting in storage process, energy consumption More, take up a lot of memory space. In order to ensure the orderliness of the ship's mobile network data storage and reduce the storage energy consumption, a large-scale data storage method of ship network based on tree routing is proposed. By establishing a two-dimensional grid of ship mobile network coverage area in cloud computing environment, The nodes in the grid position, the calculation of the node scheduling factor, on this basis, the use of tree routing method, respectively, the node is a leaf node and non-leaf node when the energy consumption, dynamic planning storage node, the node Energy balance and the energy consumption of all nodes are minimized, so as to realize the effective storage method of large data of ship mobile network based on tree-based cloud computing environment. The experimental results show that the proposed method can achieve better energy balance And the total energy consumption is small, reducing the time spent storing data query, to ensure the orderly data storage.
出处
《舰船科学技术》
北大核心
2017年第22期132-134,137,共4页
Ship Science and Technology
关键词
云计算
船舶移动网络
大数据存储
cloud computing
ship mobile network
large data storage
