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  2. Apache Kafka - Wikipedia

    en.wikipedia.org/wiki/Apache_Kafka

    Apache Kafka is a distributed event store and stream-processing platform. It is an open-source system developed by the Apache Software Foundation written in Java and Scala.The project aims to provide a unified, high-throughput, low-latency platform for handling real-time data feeds.

  3. 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.

  4. Confluent, Inc. - Wikipedia

    en.wikipedia.org/wiki/Confluent,_Inc.

    Confluent, Inc. is an American technology company headquartered in Mountain View, California.Confluent was founded by Jay Kreps, Jun Rao and Neha Narkhede on September 23, 2014, in order to commercialize an open-source streaming platform Apache Kafka, created by the same founders while working at LinkedIn in 2008 as a B2B infrastructure company.

  5. Publish–subscribe pattern - Wikipedia

    en.wikipedia.org/wiki/Publish–subscribe_pattern

    Some frameworks and software products use XML configuration files to register subscribers. 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]

  6. Apache Spark - Wikipedia

    en.wikipedia.org/wiki/Apache_Spark

    Spark Core is the foundation of the overall project. It provides distributed task dispatching, scheduling, and basic I/O functionalities, exposed through an application programming interface (for Java, Python, Scala, .NET [16] and R) centered on the RDD abstraction (the Java API is available for other JVM languages, but is also usable for some other non-JVM languages that can connect to the ...

  7. Circular buffer - Wikipedia

    en.wikipedia.org/wiki/Circular_buffer

    In some situations, overwriting circular buffer can be used, e.g. in multimedia. If the buffer is used as the bounded buffer in the producer–consumer problem then it is probably desired for the producer (e.g., an audio generator) to overwrite old data if the consumer (e.g., the sound card) is unable to momentarily

  8. Message-oriented middleware - Wikipedia

    en.wikipedia.org/wiki/Message-oriented_middleware

    Other implementations provide APIs for C#, C++, PHP, Python, Ruby, and other programming languages. The High Level Architecture (HLA IEEE 1516) is an Institute of Electrical and Electronics Engineers (IEEE) and Simulation Interoperability Standards Organization (SISO) standard for simulation interoperability. It defines a set of services ...

  9. Producer–consumer problem - Wikipedia

    en.wikipedia.org/wiki/Producer–consumer_problem

    In computing, the producer-consumer problem (also known as the bounded-buffer problem) is a family of problems described by Edsger W. Dijkstra since 1965.. Dijkstra found the solution for the producer-consumer problem as he worked as a consultant for the Electrologica X1 and X8 computers: "The first use of producer-consumer was partly software, partly hardware: The component taking care of the ...