减少数据流模型中的混乱。
我们还提供了关于如何避免使数据流模型中出现混乱的提示。
We also give hints on how to avoid clutter in data flow models.
该形状设计用于利用数据流模型图模板创建的绘图。
This shape is designed to work in drawings created using the Data Flow Model Diagram template.
在计算数据流模型的基础上，进一步建立了错误流模型。
Upon the computational data flow model, the error flow model is set up.
并将数据流模型应用到选择性接入的控制策略的性能评价。
The model is applied to evaluate the performance of Selective admission policies.
文中全面地介绍了数据流模型机sds - 1的特点和实现方法。
This paper fully introduces the features and the approaches of the implementation for the dataflow prototype SDS-1.
在模拟数据流模型时，停止节点显得尤为重要，因为需要用它来释放数据。
The stop node is particularly important when simulating data flow models, because it is required to release the data.
为了减少复杂的数据流模型中出现的混乱，请显示未连接的数据输入和输出。
To reduce clutter in complex data flow models, show disconnected data inputs and outputs.
BITKAPP采用BITK的非线性数据流模型以维护各生物特征数据，与BITK的计算框架一脉相承。
BITKAPP used the nonlinear BITK data flow model to protect the biological characteristics of data, it was based on the BITK computing framework.
它们涉及如何建立数据流模型，如何表示事件和触发器，如何正确终止流程以及如何在分层流程模型中重用活动。
They address modeling of data flow, representation of events and triggers, correct termination of a process, and reuse of activities in hierarchical process models.
本文提出了几个新的数据流模型：时序通信模型、有限资源条件下的处理器分配模型和一种结合数据流与控制流的机器模型。
In this thesis we propose three new data flow models: a time series communication model, a processor allocation model and a new data flow architecture.
除网关外，其中的部分建模语言(我们将只关注Business Modeler)还提供了建立控制流和数据流模型的另一种可选方法。
In addition to gateways, several of these modeling languages (we will only look at Business Modeler) offer an alternative approach to model control and data flow.
join的做法更像是对数据流模型进行合并，所以可能有缺乏同步的现象出现，不过如果modeler有意按join多次执行流程片段，那就另当别论了。
The join behaves more like a merge on data flow models, so a lack of synchronization can occur, unless the modeler intended multiple execution of the process fragment following the join.
当任何源模型发生了更改，可能需要对数据流规范和目标模型进行相应的调整。
When any of the source models change, data-flow specification and possibly the target model will need to be adjusted.
最后，业务模型还显示数据流，这是在绘图工具中所不包含的内容。
Lastly, the business model also shows the flow of data, which is missing from the drawing.
在设计的过程中，关键的任务是指定从数据源到目标的数据流，即如何重建并将源模型合并到目标模型中。
The key task during design time is to specify the data flow from the sources to the target — that is, how to restructure and merge source models into the target model.
不过对于使用数据流的流程模型而言，它的行为会根据您是否使用了网关形式或活动形式而有所不同。
However, for process models with data flow the behavior is different depending on whether you use gateway form or activity form.
最后，检查业务模型和数据流。
这些输入和输出可以是纯控制流链接(类似于上一部分中的模型)，也可以是类似于图5所示的数据流链接。
The inputs and outputs can be pure control-flow links as in the models in the previous section, or can be data flow links as shown in Figure 5.
另外，该模型显示了到局部存储库的数据流。
In addition the model shows data flow to local repositories.
为了正确地捕获复杂的数据流，您可能需要在单个流程模型中混合使用这两种表。
To correctly capture complex data flows, you might need to mix both forms in a single process model.
这种方法只关注如何在某个流程模型中显示选定的数据流。
This approach focuses on only showing selected data flows in a process model.
网关形式描述数据流是如何根据业务项属性的值被路由到业务模型中的可选分支的。
Gateway form describes how the data flow gets routed based on the value of attributes of business items to alternative branches in the process model.
现在看看相反的过程，从数据流建立内存对象模型。
Now take a look at the the reverse process — building an in-memory object model from a data stream.
模型的目标是通过管制进程的通信以及进程label的变化，实现对数据流的跟踪。
The model's goal is to track data flow by regulating both process communication and process label changes.
很多业务流程模型都需要显示控制流和数据流在流程中是如何分支和联接的。
Many business process models need to show how control and data flows branch and join within the process.
复杂的控制和数据流容易导致流程模型中出现多个连接，这是产生混乱的模型的另一个来源。
Complex control and data flows easily lead to multiple connections in process models, which are another source of cluttered models.
动作的概念上的模型被特意的普通化，从而提供数据流和控制流计算模型。
The conceptual model of actions was intentionally made general enough to accommodate both data-flow and control-flow computing models.
用于创建物理数据模型的图形化工具，DB 2基于SQL的数据仓库结构数据流，以及olap多维数据集模型。
Graphical tool for creating physical data models, DB2 SQL-based warehouse construction data flows, and OLAP cube models.
进程在某些方面与前面讨论的actor模型类似，而通道与数据流有很多相似之处。
Processes are similar in some ways to the actor model already discussed and channels share many similarities with dataflow streams.
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