The Manchester Dataflow Machine.
Execute and screen Dataflow employments.
Historically, the bytecode verifier inferred all the types using these Dataflow rules.
For more on"Dataflow computing", search for those two words on Wikipedia
or using your favorite search engine.
A couple of companies like Google(Cloud Dataflow who has become Apache Beam)
or Spotify(SCIO) made their own technology to solve their problem.
A famous example was the Manchester Dataflow Machine, which(IIRC)
used a tagged data architecture to schedule execution of nodes in the graph through one or more execution units.
Dataflow computing is fairly well suited to situations
in which triggering computations asynchronously giving rise to cascades of computations works better than trying to have execution be governed by a clock(or clocks).
OK, from background knowledge and from reading the Wikipedia page to which you pointed,
it appears that reactive programming is something like Dataflow computing
but with specific external"stimuli" triggering a set of nodes to fire and perform their computations.
This instructor-led class introduces participants to Google Dataflow. Through a combination of instructor-led presentations,
demonstrations, and hands-on labs, students learn how to use Dataflow to extract, transform, and load data from multiple data sources and into Google BigQuery for analysis.