移动P2P网络超级节点选取机制研究
TP393%TP181; 针对半分布式结构的移动P2P网络超级节点选取问题,提出一种新颖的超级节点选取机制,全面分析影响超级节点选取的各种因素,按着其特点和类型不同将其分为效益型属性和成本型属性,并在此基础上建立了超级节点选取的带约束多目标优化模型.采用新的约束处理方法,利用免疫克隆算法对超级节点选取问题进行求解.实验结果表明,该机制可以有效降低超级节点的失效率,提高系统查询效率,算法收敛速度快,有较好的可扩展性....
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Published in | 计算机应用研究 Vol. 31; no. 12; pp. 3773 - 3775 |
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Main Author | |
Format | Journal Article |
Language | Chinese |
Published |
东北电力大学信息工程学院,吉林吉林132012%中国矿业大学(北京)机电与信息工程学院,北京,100083
2014
中国矿业大学(北京)机电与信息工程学院,北京100083 |
Subjects | |
Online Access | Get full text |
ISSN | 1001-3695 |
DOI | 10.3969/j.issn.1001-3695.2014.12.065 |
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Summary: | TP393%TP181; 针对半分布式结构的移动P2P网络超级节点选取问题,提出一种新颖的超级节点选取机制,全面分析影响超级节点选取的各种因素,按着其特点和类型不同将其分为效益型属性和成本型属性,并在此基础上建立了超级节点选取的带约束多目标优化模型.采用新的约束处理方法,利用免疫克隆算法对超级节点选取问题进行求解.实验结果表明,该机制可以有效降低超级节点的失效率,提高系统查询效率,算法收敛速度快,有较好的可扩展性. |
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Bibliography: | 51-1196/TP ZHOU Xin-xin,YU Zhen-wei(1. School of Mechanical Electronic & Information Engineering, China University of Mining & Technology, Beijing 100083, China; 2. School of Information Engineering, Northeast Dianli University, Jilin Jilin 132012, China) mobile P2P network;super-peer;multi-objective optimization;immune clone algorithm Aiming at the problem of super-peer selection in semi-distributed mobile P2 P network,this paper presented a novel super-peer selection approach. It fully considered various kinds of factors which affected the super-peer selection and divided it into profit attributes and cost attributes. It built the super-peer selection optimization model. This paper solved the problem of super-peer selection by immune clone algorithm with the new constraint handling method. The simulation results show that the new approach can effectively reduce the failure rate of super-peer,and improve the query efficiency of mobile P2 P system. The convergence speed of the proposed algorithm is faster than o |
ISSN: | 1001-3695 |
DOI: | 10.3969/j.issn.1001-3695.2014.12.065 |