Besides using the systolic architecture which is popular in hardwarebased rsa systems , a blockbased scheme is proposed to eliminate global signals , with a pipelined bus to convey data globally . the control signals and intermediate results used for sequential multiplications are transmitted by shift registers 作者提出一种基于模块的全局信号广播策略，减少全局信号的影响：通过采用流水化的总线传送全局数据通过移位寄存器传送控制信号以及用于连续的乘法的中间结果。
It gives the description of an existing system finished based on the analysis above , which deals the global data and the local data with three kinds of methods which include : processing directly with relational data ; first changing it into object type then storing it into oracle database with some modal data which can not be classified into relational data ; and to some data which is not easy to change into object type , integrating it through open i - deas " s object oriented interfaces based on corba 该系统对oracle数据库系统管理的全局数据与大型cad软件i - deas管理的局部数据分为三种情况进行的集成处理：对关系型数据直接进行集成；对部分非关系型模型数据先进行对象化，再按照oracle中对象类型数据的方法进行存储集成；对于难以对象化的模型数据，通过openi - deas提供的公共对象请求代理体系结构corba对象接口进行集成。
Based on the actual background of jinhua electric power and the application level of business intelligence ( bi ) technology , the construction objective supplementary decision system of operational analysis in jinhua electric power is determined . the useful data acquired by etl tools will be concentrated in data warehouse or data markets . decision proposal will be made on electric equipments maintenance , reactive power control , electric line operational analysis , equipment defect prevention and control and electric power fault diagnosis by adopting dw , olap and dm technologies 针对金华电网运行生产的实际情况，结合当今业务智能技术( bi )的应用水平，金华电网运行分析辅助决策系统的建设目标是：在全局数据中心集中存储和管理经过清洗、抽取后各种有用信息，并在数据集中的基础上，采用数据仓库( dw ) 、联机事务分析( olap )和数据挖掘( dm )等技术对大量的数据和信息进行分析和挖掘，提出有益于电力设备检修、电压无功优化、线路运行分析、缺陷预控和故障诊断等的决策建议。
In consistent decision system , using improved decision matrix , data mining model is put forward to treat with decision attribute with several values in order to directly deal with increment data , which can obtain classification rules based on global data set ; in inconsistent decision system the concept induce of inconsistent decision system is built with three parameters at the aid of combination of gdt with rs to generate the classification rules with probability condition . 3 . in allusion to the equivalence relation and priority relation of the condition attributes , the method of data mining of rough set is analysized to treat with the attributes with priority 在相容性决策系统中，利用决策矩阵提出改进的处理多元决策属性值的数据挖掘模型，可方便地对增量的数据进行直接处理就可得到基于全局数据集合的分类规则，并对可能性规则的可信度进行了初步探讨；在不相容性决策系统中，利用gdt表与rs概念的结合，提出利用三个参数即归纳强度、噪声、隶属度判别指标确定分类规则的强度，通过属性的概念归纳，在一定的概率条件下产生分类规则，并能有效地处理增量式的数据。
As the application of distributed computing is used much more widely ， distributed database becomes a significant part of information management it avoids a lot of disadvantages of conventional centralized database ， and is applicable to many situations distributed database is a set of data which is the unity logic ， but in fact these data is located on different sites it is of high availability ， easy expansibility ， high concurrency ， high efficiency and etc in distributed system ， data redundancy is a method to improve the speed of query and the availability of system distributed query should shield the lower level details of data redundancy from end users ， distributed transaction should ensure data from disaccord this paper introduces basic conceptions of distributed database firstly ， discusses distributed transaction and concurrent control ， describes the development prototype mysql ’ s characters ， architecture and executive mechanism ， then shows the skeleton model of dpsql and exposes the strategy and algorithm of distributed query and distributed transaction ， at last analyzes the extra expenses and response delay of distributed processes this paper exposes the implementation mechanism of distributed query and distributed transaction emphatically distributed query uses the strategy of “ read one ， write a11 ” s0 in such a system if user ’ s requests are read - - only for the most part and the distribution of data redundancy is plausible ， efficiency is very high distributed transaction uses two - 。 phase commit protocol to ensure the consistency of global data ， which has less communication overhead 分布式查询需要向用户屏蔽数据冗余分散的底层细节，分布式事务处理要保证全局数据完整，这都是传统集中式数据库不曾面临的问题。本文首先介绍了分布式数据库的概念性问题；接着讨论了分布式事务涉及的定义及算法；然后描述了dpsql的原型mysql的特性、结构和执行机制；继而给出了dpsql的梗概模型，阐述了实现分布式查询和分布式事务处理的策略及算法；最后分析了进行分布式处理给系统增加的额外开销和客户端的额外响应延迟。本文重点描述了分布式查询和分布式事务处理的实现机制，分布式查询采用”读一个写全部”的本地优先策略，在读操作频繁的系统中，只要库的分布合理，单机效率极高，几乎无任何附加开销和延迟，而以整个系统的角度看来，吞吐量就更是优于单机系统；分布式事务处理采用两阶段提交协议，通信次数较少并能确实保证副本一致。
