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面向云覆盖聚合网中节点资源有限的移动数据库研究
引用本文:李敬兆,谭大禹,朱东郡,董如梦,杨大禹.面向云覆盖聚合网中节点资源有限的移动数据库研究[J].计算机应用研究,2018,35(1).
作者姓名:李敬兆  谭大禹  朱东郡  董如梦  杨大禹
作者单位:安徽理工大学,安徽理工大学,安徽理工大学,安徽理工大学,安徽理工大学
基金项目:本文受国家自然科学(61170060);安徽省学术与技术带头人学术科研活动资助项目(2015D046);安徽省高等学校优秀拔尖人才资助项目(gxbjZD2016044).
摘    要:移动数据库随着移动技术发展,共享其自身资源及周围资源成为热门研究.目前其在移动环境中节点资源受限和远距离资源共享问题研究不足,成为移动数据库技术难点.针对节点资源受限问题采取增强移动端连通性让移动数据库节点聚合传输,本文提出CCAN算法.并研究如何让节点资源有限的移动数据库解决信息远距离高效传输,准确及时与云共享资源.基于云覆盖聚合网的移动数据库依赖于现有各移动节点之间聚合,选择最优路径传输数据和信息交互,对远距离传输基于CCAN采取资源快速稳定分配(C-RFSD算法).算法验证,对比分析提出方法较现有方法提高约百分之十.

关 键 词:移动数据库  最优资源分配  增强连通性  云聚合传输  
收稿时间:2016/9/22 0:00:00
修稿时间:2016/11/7 0:00:00

For cloud cover aggregation network node in the limited resources of mobile database research
Li jingzhao,Tan dayu,zhu dongjun,dong rumeng and yang dayu.For cloud cover aggregation network node in the limited resources of mobile database research[J].Application Research of Computers,2018,35(1).
Authors:Li jingzhao  Tan dayu  zhu dongjun  dong rumeng and yang dayu
Affiliation:Anhui University Of Science And Technology,,,,
Abstract:Mobile database with the development of mobile technology, sharing their own resources and surrounding resources become a hot research. Now it in a mobile environment resource constrained nodes and remote sharing problem research is insufficient, become a mobile database technology difficulty. For mobile and the problem of limited resources to enhance mobile connectivity for mobile database node aggregation transmission, CCAN put forward in this paper. Study how to make the nodes with limited resources of mobile database solution information fast, efficient transmission over a long distance, and accurate and timely sharing resources with the cloud. Based on the cloud cover on polymerization of mobile database technology relies on the existing between each mobile node aggregation, select the best path to transmit data and information interaction, for long distance transmission based on CCAN take resources quickly stable distribution. Algorithm validation, comparative analysis method to the existing method increases by about ten percent.
Keywords:Mobile database  Optimal resource allocation  Enhanced connectivity  CCAN  
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