摘要
提出一种基于社会特性的P2P资源查找策略。将具有类似兴趣的节点组织成多个兴趣簇,形成一个多簇相互交叠的重叠网络拓扑。节点通过相似度比较,选择与自己兴趣度最相似的候选节点建立邻居关系,结合带偏向的随机走动策略和跨簇节点广度优先搜索策略,进行资源查找。实验结果表明,该策略的查找成功率较高。
This paper proposes a Peer-to-Peer（P2P） resource searching strategy based on social characteristics. It clusters the nodes which hold similar interests into a specific cluster, result into a multi-cluster interconnected overlay topology. Every node select most similar candidate node as its neighbors. When confronts with resource searching, node combines biased random walk with breadth first search strategy to locate the searching object. Experimental results indicate that the strategy is a high efficiency searching strategy.
出处
《计算机工程》
CAS
CSCD
2012年第6期32-33,36,共3页
Computer Engineering
基金
国家科技重大专项基金资助项目(2008ZX03004)
重庆市教委科技基金资助项目(KJ110831)
关键词
点对点
资源查找策略
社会网络
重叠网络
分簇
Peer-to-Peer（P2P）
resource searching policy
social network
overlay network
clustering
