数字图书馆中借阅信息资源快速获取仿真

Fast Acquisition of Information Resources in Digital Library

对数字图书馆中借阅信息资源的快速获取,可有效降低图书馆借阅图书过程出现信息错误的概率。信息资源获取过程,需要先确定存取代价最小的目标函数,可调整资源数据存放位置。传统方法引入调度因子来确定节点的状态,来获取相应信息资源,但忽略了对节点位置的调整,导致资源获取效率较低。提出基于K均值聚类的数字图书馆图书借阅信息资源获取方法。将信息资源数据获取问题抽象为网络节点聚类问题,建立信息资源获取能耗模型,计算不同类型节点采集、发送、接收和查询数据时消耗的能量,结合K均值聚类理论建立图书借阅信息资源数据获取模型,确定图书借阅信息资源数据存取代价最小的目标函数,依据目标函数的变化自适应地调整资源数据存放位置,由此完成数字图书馆图书借阅信息资源获取。实验结果表明,所提方法能够有效减少能量消耗,且获取效率较高。

In this paper,we propose a method for fast acquisition of borrowing information resource in digital library based on k - means clustering. Firstly, data acquisition of information resource was abstracted as cluster of net-work node. Then, energy consumption model of information resource acquisition was built to calculate energy consumed during different types of data collecting, sending, receiving and querying. Moreover, integrated with the k - means clustering, the data acquisition model of information resource was built to confirm objective function with minimum cost of data access of the information resource. According to variation of the objective function, place for storage of resource data was adjusted adaptively, experimental results show that the method can reduce energy consumption effectively. It has higher acquisition efficiency.