摘要
针对云计算环境下的图书馆信息资源共享管理问题,提出一种基于信息共享空间模式的资源管理和搜索方法。首先对图书馆的信息共享空间实体分布进行设计;然后采用以信息资源共享为目的的分布式对等网络对云平台中的资源节点进行管理,并对资源搜索过程进行分析;最后引入个体兴趣信息素对传统资源搜索方法进行改进。实验结果表明,相比洪泛搜索算法和K随机游走搜索算法,提出的资源兴趣搜索算法可以有效实现图书网络资源搜索,并具有较高的准确率和响应速度。
A resource management and search method based on information sharing spatial pattern is proposed to solve the problem of library information resource sharing management in cloud computing environment. The physical distribution of the information sharing space of the library is designed. A distributed peer to peer network for information resource sharing is adopted to manage resource nodes in the cloud platform and analyze the resource search process. The individual interest pheromones are introduced to improve the traditional resource search method. The experimental results show that,in comparison with flooding search algorithm and K random walk search algorithm,the proposed resource interest search algorithm can more effectively realize the search of book network resources,and has higher accuracy and response speed.
作者
张红艳
ZHANG Hongyan(CPC Tangshan City Party School of Hebei Province,Tangshan 063000,China)
出处
《现代电子技术》
北大核心
2019年第17期180-182,186,共4页
Modern Electronics Technique
关键词
图书馆管理
信息资源共享
云计算
信息共享
资源搜索
个体兴趣信息素
Library management
information resource sharing
cloud computing
information sharing
resource search
individual interest pheromone