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  2. Bus network - Wikipedia

    en.wikipedia.org/wiki/Bus_network

    Topology of a bus network. A bus network is a network topology in which nodes are directly connected to a common half-duplex link called a bus. [1] [2] A conceptual diagram of a local area network using bus topology. A host on a bus network is called a station.

  3. Observer pattern - Wikipedia

    en.wikipedia.org/wiki/Observer_pattern

    The observer design pattern is a behavioural pattern listed among the 23 well-known "Gang of Four" design patterns that address recurring design challenges in order to design flexible and reusable object-oriented software, yielding objects that are easier to implement, change, test and reuse.

  4. Message broker - Wikipedia

    en.wikipedia.org/wiki/Message_broker

    Message brokers are generally based on one of two fundamental architectures: hub-and-spoke and message bus. In the first, a central server acts as the mechanism that provides integration services, whereas with the latter, the message broker is a communication backbone or distributed service that acts on the bus. [3]

  5. Actor model - Wikipedia

    en.wikipedia.org/wiki/Actor_model

    The actor model in computer science is a mathematical model of concurrent computation that treats an actor as the basic building block of concurrent computation. In response to a message it receives, an actor can: make local decisions, create more actors, send more messages, and determine how to respond to the next message received.

  6. Network topology - Wikipedia

    en.wikipedia.org/wiki/Network_topology

    A network's logical topology is not necessarily the same as its physical topology. For example, the original twisted pair Ethernet using repeater hubs was a logical bus topology carried on a physical star topology. Token Ring is a logical ring topology, but is wired as a physical star from the media access unit.

  7. Data Distribution Service - Wikipedia

    en.wikipedia.org/wiki/Data_Distribution_Service

    The Data Distribution Service (DDS) for real-time systems is an Object Management Group (OMG) machine-to-machine (sometimes called middleware or connectivity framework) standard that aims to enable dependable, high-performance, interoperable, real-time, scalable data exchanges using a publish–subscribe pattern.

  8. Event-driven architecture - Wikipedia

    en.wikipedia.org/wiki/Event-driven_architecture

    In simple event processing, a notable event happens which initiates downstream action(s). Simple event processing is commonly used to drive the real-time flow of work, thereby reducing lag time and cost. [10] For example, simple events can be created by a sensor detecting changes in tire pressures or ambient temperature.

  9. Publish–subscribe pattern - Wikipedia

    en.wikipedia.org/wiki/Publish–subscribe_pattern

    These configuration files are read at initialization time. The most sophisticated alternative is when subscribers can be added or removed at runtime. This latter approach is used, for example, in database triggers, mailing lists, and RSS. [citation needed] The Data Distribution Service (DDS) middleware does not use a broker in the middle.