摘要
针对大规模信息网络中的多Agent并行信息采集系统的任务分配问题,给出了一种基于超图划分的任务划分方法,该方法的思想是利用超图的划分方法,对网络进行分割,使分布在网络中的多个信息采集Agent只工作于各自的信息域中。
To protect the network security,a good way is to inspect the network content,which will prevent the spread of all kinds of violated and sensitive information on the network effectively. Based on the hypergraph partition theory,the paper provides an approach to solve the task partitioning issue of information collection from parallel multi-agents under the large scale network environment. The idea is to apply the hypergraph theory to network partition,in which the agents will be limited to work only in their respective information-field. This approach will avoid the reduplicated operation of collecting information,reduce the communication within the collecting system and improve the system＇s efficiency.
出处
《广西师范大学学报（自然科学版）》
CAS
北大核心
2008年第1期212-215,共4页
Journal of Guangxi Normal University:Natural Science Edition
基金
国防科技基础研究项目(20021823)
关键词
大规模网络
信息采集
多AGENT
超图分划
large scale network
information crawling
multi-agent
hypergraph partition
