在执行期间,在每一个可执行元素的实际执行过程中都会收集数据,根据模型中所定义的安排规则来确认实际的执行时间。
During execution, data is collected on the actual execution times per executable element, thus allowing validation of the real-time execution against the scheduling algorithm defined in the model.
MTF转换引擎将随后执行这些规则来将目标模型文件与源模型文件同步。
The MTF transformation engine then executes those rules to synchronize the target model files with the source model files.
在这种上下文中,最有用的三种模型是规则组的结构模型、组间的依赖关系图,以及规则引擎本身执行的执行流。
The three model forms most useful in this context are a structure model of the rule groups, a dependency map among groups, and the execution flows that the rule engine itself performs.
要创建关联规则挖掘模型并将这些规则提取到数据库表,可以执行如下操作
To create the association rule mining model and extract the rules to a database table, do the following
强制执行了与数据模型相关的业务规则。
共用语言执行时期(CLR)支援定义商业物件模型-商业规则适用之领域。
Common Language Runtime (CLR) support for the definition of business object models-domains to which business rules apply.
其更为详细的描述是通过读取输入的工程设计中的各种文档及模型,按照一定领域规则,生成某种计算机能编译执行的源代码的过程。
The more detailed Description is that by reading the various engineering design documents and models, and using the domain rules, the program generates standard code which computer can implement.
为了分析主动规则的汇流性,文中引入了基于执行图的执行模型。
For the sake of the analysis of confluence of active rules, we introduce the model based on execution graph.
新的系统执行模型和扩展后的事务使我们能够提出一种支持丰富语义的规则处理算法。
Based on the new system executing model and the extended transaction model, a rule processing algorithm that supports rich rule semantic can be represented.
从活动模型中获得可执行模型的结构信息,从规则模型中获得可执行模型的约束信息,从数据模型中获得模型的数据域信息。
We get the structure information of the executable models from the activity models and the binding information from the rule models and the domain information from the data models.
最后,给出了规则执行的语义和移动事务的执行模型及其比较。
Finally, execution semanteme of rules and execution mode of mobile transaction and their compare is given.
本文中提出一个支持符合事件、允许多种规则耦合模式的主动关系数据库模型,并给出相应的系统执行模型的描述。
In this paper, we propose a new relation active database model which can support complex event and multiple coupling model, and then give a description of its system execution model.
本文中提出一个支持符合事件、允许多种规则耦合模式的主动关系数据库模型,并给出相应的系统执行模型的描述。
In this paper, we propose a new relation active database model which can support complex event and multiple coupling model, and then give a description of its system execution model.
应用推荐