摘要
提出一种MP2P网络中基于动态分组的超级节点选取机制。根据MP2P网络中节点拥有资源的类型以及节点的物理位置等因素进行动态分组,根据阈值过滤算法和节点综合能力计算选出每组的超级节点群组和备选超级节点集合,根据每组的超级节点负载情况动态更新该组的超级节点群组。理论分析和仿真结果表明,该机制能显著降低MP2P网络中的信息检索延迟,有效提高了网络中资源的定位成功率,具有较好的网络动态扩展性。
A dynamic grouping-based super node selection mechanism in MP2P networks was proposed.Dynamic grouping was performed according to factors such as the type of resources owned by the node and the physical location of the node in MP2P networks.The super node group and the candidate super node set of each group were selected according to the threshold filtering algorithm and the node comprehensive capability calculation,and the super node group was dynamically updated based on the super node load status.Theoretical analysis and simulation results show that using this mechanism can significantly reduce the information retrieval delay in MP2P networks,effectively improve the retrieval efficiency,and it has better dynamic scalability.
作者
陶洋
王成宇
潘蕾娜
杨柳
王进
TAO Yang;WANG Cheng-yu;PAN Lei-na;YANG Liu;WANG Jin(College of Communication and Information Engineering,Chongqing University of Posts and Telecommunications,Chongqing 400065,China)
出处
《计算机工程与设计》
北大核心
2020年第1期16-20,共5页
Computer Engineering and Design
基金
国家自然科学基金项目(61801072)
重庆市自然科学基金项目(cstc2018jcyjAX0344)
关键词
MP2P网络
动态分组
超级节点
兴趣相似度
物理位置
peer-to-peer network
dynamic grouping
super node
interest similarity
physical location
