位置:成果数据库 > 期刊 > 期刊详情页
基于社会网络特征的P2P内容定位策略
  • 期刊名称:软件学报, 2010, 21(10): 2622-2630. (国内期刊,EI收录)
  • 时间:0
  • 分类:TP393[自动化与计算机技术—计算机应用技术;自动化与计算机技术—计算机科学与技术]
  • 作者机构:[1]北京邮电大学计算机学院,北京100876
  • 相关基金:Supported by the National Natural Science Foundation of China under Grant No.60872051(国家自然科学基金);the National Key Technology R&D Program of China under Grant No.2006BAH02A11(国家科技支撑计划项目);the Program of the Co-Construction with Beijing Municipal Commission of Education of China (北京市教育委员会共建项目专项资助)
  • 相关项目:移动网络服务中智能化用户需求模型研究
中文摘要:

提高文件的查找定位效率是无结构的P2P网络一个重要的研究内容.泛洪法和随机查找法虽然简单和易于实现,但是前者会较大地增加网络负载,而且搜索的深度不能太大:后者虽然可以降低网络负载和适当增加搜索深度,但却以牺牲搜索的广度和增加响应时间为代价.提出一个无结构P2P内容分发网络的内容定位和查找请求路由方案坨利用社会网络的基本原理,通过模拟社会网络的特征,发挥节点的能动性,可以在有限的搜索深度和广度内快速查找定位文件.模拟实验结果表明,在相同的硬件环境支持下,P2P网络文件平均定位时间可以缩短50%以上.

英文摘要:

Enhancing the efficiency of the file location is important in the study of unstructured P2P network. Flooding and random walks are simple and easily implemented. However, the former will increase the load of P2P network to much and put bounds to the search depth, and the latter's lower network load and deeper search comes at the cost of lower search breadth and more response time. This paper puts forward a strategy of content location and routing of a search request in an unstructured P2P network. By applying the rationale of social network and simulating the ability of the peers of social network, the strategy proposed in this paper, can make better use of the ability of the peers and locate files faster with lower search depth and breadth. Supported by the equivalent hardware environment, the experimental results demonstrate that the time spent on content location can be reduced by more than 50%.

同期刊论文项目
同项目期刊论文