摘要
针对节点查询量负载、提升网络系统处理效率低的问题,提出一种复杂网络数据库中信息资源调度方法,对复杂网络数据库信息资源进行特征分析,构建信号模型为后期调度提供基础数据,凭借DAG图描述信息资源间存在的关系,并排序信息资源的深度值确保信息之间数据逻辑关系的合法性,构建短资源优先原则与父节点优先原则,并凭借资源编号对每一种信息资源分类,获得运行的子信息集合,将改进粒子群优化方法融合上述原则完成对信息集合的集群调度。仿真结果表明,提出的方法处理过程中不会对复杂网络系统造成较大影响,能够最大化利用网络系统处理节点。
An information resource scheduling method in complex network database is proposed in this work for alleviating the query load of nodes and improving the processing efficiency of network system.The characteristics of complex network database information resources were analyzed,and the signal model was constructed to provide basic data for subsequent scheduling.According to DAG diagram,the relationship between information resources was described,and the depth value of information resources was reordered to ensure the legitimacy of data logical relationship between information resources.The short resource priority principle and parent node priority principle were constructed,and each information resource was classified according to the resource number to obtain the running sub information set.The improved particle swarm optimization method was combined with the above principles to achieve the cluster scheduling of information set.The simulation results show that this method does not affect the complex network system,thus it can make better use of the network system to deal with nodes.
作者
陈荔
申健
CHEN Li;SHEN Jian(Department of Information Network,Chang'an University,Xi'an Shanxi 710064,China)
出处
《计算机仿真》
北大核心
2021年第2期357-360,共4页
Computer Simulation
关键词
复杂网络
数据库
信息资源调度
特征分析
Complex network
Database
Information resource scheduling
Feature analysis