科技通报
科技通報
과기통보
BULLETIN OF SCIENCE AND TECHNOLOGY
2015年
8期
216-218
,共3页
网格分配%资源数据库%访问控制
網格分配%資源數據庫%訪問控製
망격분배%자원수거고%방문공제
grid distribution%resource database%access control
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.
對網絡資源數據庫的優化調度和訪問控製是實現大型數據庫管理和構建的關鍵技術,傳統方法中採用非對稱補償的單模態資源數據庫網絡控製算法,受到網格分配不均衡的限製,訪問控製性能不好.提齣一種基于最優化網格分配的資源數據庫訪問控製方法,構建網格分配下的網絡資源數據庫結構模型,提取數據信息的最大熵,錶徵信號含有有用信息飽和量的有效特徵,有效反映資源數據的特徵信息,通過網格分配,求得的資源數據庫的功率譜優化分配概率密度函數,通過概率分析生成具有反應數據顯著特徵的特定隨機數產生序列,滿足之前的概率密度的隨機調配需求,實現最優化網格分配,實現資源數據庫訪問控製改進.倣真實驗錶明,該算法具有較好的資源數據庫訪問性能,控製精度較傳統方法提升,控製的魯棒性較好,在數據庫訪問和調度中應用價值高.
대망락자원수거고적우화조도화방문공제시실현대형수거고관리화구건적관건기술,전통방법중채용비대칭보상적단모태자원수거고망락공제산법,수도망격분배불균형적한제,방문공제성능불호.제출일충기우최우화망격분배적자원수거고방문공제방법,구건망격분배하적망락자원수거고결구모형,제취수거신식적최대적,표정신호함유유용신식포화량적유효특정,유효반영자원수거적특정신식,통과망격분배,구득적자원수거고적공솔보우화분배개솔밀도함수,통과개솔분석생성구유반응수거현저특정적특정수궤수산생서렬,만족지전적개솔밀도적수궤조배수구,실현최우화망격분배,실현자원수거고방문공제개진.방진실험표명,해산법구유교호적자원수거고방문성능,공제정도교전통방법제승,공제적로봉성교호,재수거고방문화조도중응용개치고.
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 perfor-mance 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 informa-tion, 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 spec-trum 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.