基于最优化网格分配的资源数据库访问控制  

Access Control for Resource Database Based on Optimization Grid Distribution

作　　者：朱彦杰[1] 

机构地区：[1]许昌学院经济与管理学院,河南许昌461000

出　　处：《科技通报》2015年第8期216-218,共3页Bulletin of Science and Technology

基　　金：河南省科技计划软科学项目(编号:142400410234)

摘　　要：对网络资源数据库的优化调度和访问控制是实现大型数据库管理和构建的关键技术,传统方法中采用非对称补偿的单模态资源数据库网络控制算法,受到网格分配不均衡的限制,访问控制性能不好。提出一种基于最优化网格分配的资源数据库访问控制方法,构建网格分配下的网络资源数据库结构模型,提取数据信息的最大熵,表征信号含有有用信息饱和量的有效特征,有效反映资源数据的特征信息,通过网格分配,求得的资源数据库的功率谱优化分配概率密度函数,通过概率分析生成具有反应数据显著特征的特定随机数产生序列,满足之前的概率密度的随机调配需求,实现最优化网格分配,实现资源数据库访问控制改进。仿真实验表明,该算法具有较好的资源数据库访问性能,控制精度较传统方法提升,控制的鲁棒性较好,在数据库访问和调度中应用价值高。The optimal scheduling and control access to the network resource database is the key technology to realize the large-scale databaSe management and construction, using the traditional method of non symmetrical compensation single mode resource database of network control algorithm, under unbalanced grid distribution restriction, access control performance is not good. Put forward a kind of optimization allocation of resources based on grid database access control method, constructing the network resource database structure model of grid distribution, maximum entropy to extract data information, effective characterization signal containing useful information saturation, effectively reflect the characteristics of the in- formation resource data, through the optimal allocation of grid distribution, the probability density function of power spectrum obtained resources database, through probability analysis to generate sequences to generate specific random number with the significant features of the response data, random allocation demand probability density met before, to achieve the optimal allocation of grid resources, implementation of the database access control improvement. Simulation results show that the algorithm has better resource database access performance, control precision than the traditional method of lifting, the robustness is good, in the database access and scheduling of high application value.

关 键 词：网格分配 资源数据库 访问控制 

分 类 号：TP392[自动化与计算机技术—计算机应用技术]