Data flow architecture is a form of reactive programming where each function is generated from the previous one, allowing for parallel data flow. It is compared to a factory assembly line and is simple to use but has limitations. It is opposed to von Neumann architecture, which cannot handle parallel processes.
Data flow architecture is a set of functions in computer software where each step is automatically generated from the actions of a previous function. It is also known as reactive programming. Because each function is explicitly programmed, there is no need to recalculate the values in one variable when another variable changes. This allows parallel dataflow operations to function since resources are not focused on adjusting to the needs of each new command.
The data flow architecture concept has been compared to a factory assembly line. As with that type of system, each packet of information is individually optimized for maximum performance and is also integrated into the overall system. Information is organized in a sort of pipeline, where it progresses from one function to another. One significant way the system differs is that each packet contains the information needed to connect it to the next link in the data flow chain.
Since dataflow architecture is considered a fairly simple form of programming, it is often used by less experienced programmers. With this method, a system can be programmed one package at a time. Some programmers are also attracted to dataflow architecture because it’s a simple way to organize complex groups of information.
While the dataflow architecture is relatively easy to use, it also has some limitations. With packages dedicated to specific tasks, a system can operate efficiently, but with only a certain amount of flexibility. Each package can be programmed differently, but if the system is to work, it has to follow a certain path. Because data flow architecture solves many problems inherent in data flow and organization, many programmers will try to use its basic concepts while making changes to handle more sophisticated programming needs.
The concept of data flow architecture is opposed to the traditional style known as von Neumann architecture. In this type of programming, there is a section for each function, rather than a series of packets with information that enable different types of functions. A primary difference with this form of programming is that it cannot handle parallel processes. The system is named after computer scientist John von Neumann, who wrote about the basics of the concept in a 1945 paper. Despite its limitations, this is also a fairly simple and widespread programming style.
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