摘要
非结构化P2P网络实现简单,是P2P信息共享系统的研究热点,但其存在搜索盲目、检索效率低的不足。针对其存在的问题,本文提出将改进的蚁群算法引入其中,构建了基于蚁群算法的P2P信息检索,使检索总是倾向于有利的方向;同时,有针对性的推荐服务能够减少盲目搜索,进一步提高信息定位效率。仿真结果表明,该系统所采用的信息检索与信息推荐相结合的策略能够有效地提高非结构化P2P信息检索的成功率,降低网络负载。
Unstructured P2P systems are inefficient but more popular. This paper presents a new approach to unstructured P2P information retrieval based on the ant colony algorithm and information recommendation services to improve the search efficiency. The ant colony algorithm is used to make routing decisions, and it makes searches turn to the most favorable direction. Besides, information recommendation services reduce blind searches and raise the file-sharing efficiency. In order to evaluate and validate the new algorithm, a simulated experiment is done. The results show that the new searching algorithm has good performance in the search success rate and load balancing.
出处
《计算机工程与科学》
CSCD
北大核心
2009年第8期99-103,139,共6页
Computer Engineering & Science
基金
国家自然科学基金资助项目(60373080)
福建省自然科学基金资助项目(A0310009)
